Instructions to use Lin-Chen/ShareCaptioner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lin-Chen/ShareCaptioner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Lin-Chen/ShareCaptioner", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Lin-Chen/ShareCaptioner", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
'InternLMXComposerTokenizer' object has no attribute 'sp_model'
#6
by leowgyang - opened
Does this project have a chat.py or a demo?
I meet a error and solved by https://github.com/huggingface/transformers/issues/26340
But there are other errors.
same here. Any solutions so far?
move super().init() at the end of the InternLMXComposerTokenizer's init() function, it will be ok!
This helps a lot for me. https://github.com/huggingface/transformers/issues/26340#issuecomment-1782301179