open-compass / open-compass/VLMEvalKit
version of transfomers
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 4.4k
- Forks
- 768
- Avg merge
- 1d 10h
- Merged PRs (30d)
- 17
Description
which version of transformers should i apply when employing qwen2vl_series and mplug_owl3 respectively.
i encounter the following problems:
for qwen2vl:
ImportError: cannot import name 'Qwen2VLForConditionalGeneration' from 'transformers'
for mplug_owl3:
File "/data1/VLMEvalKit/vlmeval/vlm/mplug_owl3.py", line 146, in __init__ self.tokenizer = AutoTokenizer.from_pretrained( File "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/tokenization_auto.py", line 733, in from_pretrained raise ValueError( ValueError: Tokenizer class Qwen2Tokenizer does not exist or is not currently imported.
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with vlmeval/vlm/mplug_owl3.py at line 146 and compare the installed Transformers version with the versions required by the Qwen2VL and mplug_owl3 model implementations. Reproduce both import and tokenizer errors, then confirm compatible version guidance for each model.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100