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Hugging Face upgrades break working setups

14 posts from 13 people10d activeSteady, +3 this week

Posts per day

Posts per day14 posts, Sep 1 to Nov 9

The posts behind it

GitHub issueshuggingface/transformers · albertvillanovaNov 3

Trainer no longer calls an overridden gradient_checkpointing_enable after the activation checkpointing rename

### System Info - `transformers` version: 5.23.0.dev0 (main, huggingface/transformers@a85df47ada) - Platform: Linux-6.8.0-1057-aws-x86_64-with-glibc2.35 - Python version: 3.13.9 - PyTorch version: 2.14.1+cu130 - Accelerate version: 1.15.0 ### Who can help? @qgallouedec (author...

1 reactions1 replies
GitHub issueshuggingface/transformers · ravediamondNov 3

Docs: `hidden_states[-1]` of DINOv3 / ViT changed from post-norm to pre-norm in 4.57.2 (not in release notes or migration guide)

Since #40994 (shipped in v4.57.2, and in v5), vision models such as `DINOv3ViTModel` and `ViTModel` use `tie_last_hidden_states=False`: `hidden_states[-1]` is now the last block's output before the final layernorm. Up to v4.57.1 it was identical to `last_hidden_state`. The new...

3 replies
GitHub issueshuggingface/transformers · BlazeSR10hawkNov 3

ZeroShotObjectDetectionPipeline silently drops batched images and misroutes candidate labels

### System Info - **Transformers:** `5.23.0.dev0` (main) - **PyTorch:** `2.11.0+cu130` - **GPU:** NVIDIA Tesla T4 - **Environment:** Kaggle, Linux, CUDA enabled ### Reproduction `ZeroShotObjectDetectionPipeline.__call__()` uses [`zip(image,...

GitHub issueshuggingface/transformers · outerheaven199XOct 28

ClapFeatureExtractor forces is_longer=True in fusion mode when every clip is ≤10 s

## Reproduction At batch 1, `is_longer` is always `[True]`, so the clip is routed through the fusion branch even though it is not longer than the window. At batch 8 exactly one index is `True`, and which one changes between calls because the choice is `np.random.randint` and...

1 replies
GitHub issueshuggingface/transformers · YaochengTongOct 28

Prompt-lookup decoding advances stateful logits processors (CFG, SynthID watermark) on draft tokens, so output differs from generation without prompt lookup

### System Info - transformers 5.21.0 (also reproduced on main @ 494470d6) - torch 2.11.0+cpu, Python 3.12, Linux (WSL2), CPU only - `pip install torch==2.11.0 --index-url https://download.pytorch.org/whl/cpu && pip install transformers==5.21.0` ### Who can help? @Cyrilvallez...

2 replies
GitHub issueshuggingface/transformers · lounishamrounOct 25

Improve tokenizer validation errors by including the received input type

### Feature request I'd like to improve tokenizer input validation errors by including the actual type received when an invalid input is passed. For example: Currently, the `ValueError` lists the accepted input types but doesn't indicate that an `int` was received. The proposal...

1 replies
GitHub issueshuggingface/transformers · dacorvoOct 15

[Regression] EP no longer leaves attention replicated (v5.19)

Since #48859 (**v5.19.0**), DistributedConfig(tp_size=N, ep_size=N) applies the TP plan next to the EP plan, so attention is sharded N ways. Up to **v5.18.0**, expert parallelism applied the EP plan alone and attention stayed replicated. Models with fewer KV heads than tp_size...

Community forumsHugging Face Forums · sabulinOct 13

Authorship Claim Denied - Unable to Retry After Updating Profile

GitHub issueshuggingface/transformers · tarekziadeOct 6

set_attn_implementation() does not reach T5 encoder/decoder: model reports SDPA but still runs eager

### System Info - `transformers` main @ `4d536e1f1a` (5.19.0.dev0) - torch 2.11.0, CPU, macOS arm64 ### Description `model.set_attn_implementation("sdpa")` on a T5 model loaded with `attn_implementation="eager"` updates `model.config`, but the encoder/decoder `T5Stack`s (and...

3 replies
GitHub issueshuggingface/transformers · oliverholworthyOct 6

Pixtral Flash Attention 2 uses axial RoPE coordinates as packed sequence boundaries (regression in 5.17.0)

### System Info - Transformers 5.18.0 - Python 3.12 - PyTorch 2.14.0 - flash_attn 2.8.3 ### Who can help? @zucchini-nlp ### Information A PixtralVisionModel raises `CUDA error: an illegal memory access was encountered` with Flash Attention 2 in Transformers 5.17.0 and 5.18.0....

GitHub issueshuggingface/transformers · gitedmondOct 1

Encoder repetition penalty uses incorrect source rows after beam or sampled-return expansion

### System Info - Transformers: `5.19.0.dev0`, main commit `d6c1e71bd717bf092f8293f0c3c9bd4a5ac5401a`; also reproduced on stable `5.18.0`. - Python: `3.12.14` - PyTorch: `2.14.1+cpu` - Accelerate: `1.15.0` - Platform: Linux x86-64, CPU, single process. - Tiny models constructed...

1 replies
GitHub issueshuggingface/transformers · gitedmondSep 29

Trainer reports incorrect final loss and throughput after resuming from a full checkpoint

### System Info - Windows 11 (`Windows-11-10.0.26200-SP0`) - Python 3.14.6 - `transformers` 5.18.0.dev0, commit `f339035b986aaf719bc6f5ea92342f73c498cb0e` - PyTorch 2.14.0+cpu - Accelerate 1.15.0 - Single-process CPU training ### Who can help? @SunMarc ### Information - [ ] The...

4 replies
GitHub issueshuggingface/transformers · arkapravopal04Sep 2

MIGRATION_GUIDE_V5.md missing Dynamic - Cache API removals (key_cache, from_legacy_cache)

### System Info - `transformers` version: 5.0.0 - Platform: Linux-6.12.90+-x86_64-with-glibc2.35 - Python version: 3.12.13 - Huggingface_hub version: 1.11.0 - Safetensors version: 0.7.0 - Accelerate version: 1.13.0 - Accelerate config: not found - DeepSpeed version: not...

3 replies
Redditr/MachineLearning · u/Naive-Explanation940Sep 1

YOLO26-RGB: repurposing YOLO26's depth-trained backbone for image deraining [P]

...into the tail, so fine detail has a path that doesn't route through an 8×-downsampled bottleneck.. Residual output - the head predicts a correction added to the input (NAFNet/Restormer-style), not the image directly.. LayerNorm in the head's own conv blocks; the backbone and...

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About this problem

Evidence

14 posts from 13 people in 3 places, about 1 a week over 64 days. Mostly on huggingface/transformers, r/MachineLearning, Hugging Face Forums. Tools named alongside: GitHub, PyTorch, NVIDIA, Tesla.

Frustration Frustration 1 of 3· Seen on GitHub issues, Reddit, Community forums

How it was grouped

Posts that state a pain and match the "breaking-changes" rule about Hugging Face. First post Sep 1, 2026, latest Nov 3, 2026. Corroborated: 3 or more posts from 2 or more people or places. Method

The same problem elsewhere

GitHub upgrades break working setups

87 posts from 75 people on GitHub issues, Hacker News, Stack Overflow.

Upgrades and new releases break working setups

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Claude Code upgrades break working setups

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Codex upgrades break working setups

65 posts from 58 people on GitHub issues, Reddit.

DuckDB upgrades break working setups

37 posts from 28 people on GitHub issues.

Claude upgrades break working setups

35 posts from 34 people on GitHub issues, Reddit, Hacker News.

ClickHouse upgrades break working setups

31 posts from 20 people on GitHub issues.

Anthropic upgrades break working setups

27 posts from 22 people on GitHub issues.

PyTorch upgrades break working setups

26 posts from 21 people on GitHub issues, Reddit.

ChatGPT upgrades break working setups

26 posts from 26 people on GitHub issues, Community forums, App Store reviews.

OpenAI upgrades break working setups

25 posts from 25 people on GitHub issues, Reddit, Community forums.

Open WebUI upgrades break working setups

25 posts from 2 people on GitHub issues.

Other Hugging Face problems

Running Hugging Face locally hits memory and speed limits

17 posts from 15 people on GitHub issues, Reddit.

Fine-tuning Hugging Face is costly and unpredictable

9 posts from 9 people on GitHub issues, Reddit.

Trouble with Hugging Face fail

Top post: "All paid GPU pools fail to start: MOUNT_ATTR_IDMAP error at container init (Exit code 128)", one of 8 posts from 5 people on GitHub issues, Community forums.

Trouble with Hugging Face generate

Top post: "prefill_chunk_size drops image inputs, VLMs generate without the image", one of 6 posts from 5 people on GitHub issues, Community forums.

Trouble with Hugging Face token

Top post: "<|image|> token has special=False in Rust tokenizer backend, should it be True?", one of 4 posts from 4 people on GitHub issues.

Trouble with Hugging Face logits

Top post: "`DogeCDMoE` router `.view(2, bsz * seq_len, -1)` mixes tokens: with `is_moe=True`, logits depend on future", one of 4 posts from 4 people on GitHub issues.

Trouble with Hugging Face docs

Top post: "Translating docs to <languageName>", one of 4 posts from 3 people on GitHub issues.

Trouble with Hugging Face torch

Top post: "import transformers spends 1-3 s in an eager importlib.metadata.packages_distributions() when torch >= 2.14", one of 4 posts from 4 people on GitHub issues.

Trouble with Hugging Face load

Top post: "gemma 4 can not load audio file and produce Audio features and audio tokens do not match, tokens: 31,", one of 3 posts from 3 people on GitHub issues.

Trouble with Hugging Face chat

Top post: "Chat parsing: `json` parser's `string_delims` doesn't handle escaped delimiters", one of 3 posts from 3 people on GitHub issues, Community forums.

Hugging Face runs out of context on real work

3 posts from 3 people on GitHub issues.

Trouble with Hugging Face size

Top post: "Inkling-Small: width of the routed experts resolves to 3072 instead of 2048 (moe_intermediate_size is never", one of 3 posts from 3 people on GitHub issues.

History

Momentum went from fading to steady.

Nov 7, 2026

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Nov 4, 2026

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Nov 1, 2026

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Oct 29, 2026

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Oct 6, 2026

Corroborated: 3 or more posts from 2 or more people or places.

Oct 4, 2026

Momentum went from fading to rising.

Oct 4, 2026