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
- Xet hash:
- 6331d73c956195256007475d22bccfbf05bafe6e28d987b8e48a725e4cafa228
- Size of remote file:
- 6.82 GB
- SHA256:
- 51b2137325b988a6991b3cd47a142d441421aef131dc3f522e89ad397abb8a4c
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