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:
- 6f54ad1377595cc46ac86c2b35dfe5ff381c2b2ab4c529b83b9b6011f5c4063a
- Size of remote file:
- 9.99 GB
- SHA256:
- 0e7805b8caafe265606f7d70ac64879cee88a579fe261473fbad8c5e136c90e2
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