Instructions to use jamesmullenbach/CLIP_DNote_BERT_Context with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jamesmullenbach/CLIP_DNote_BERT_Context with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jamesmullenbach/CLIP_DNote_BERT_Context", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffe027aced7e892a6c69c13b0a9e99682ee694f041b8a940cbf6beb20b656a2d
- Size of remote file:
- 433 MB
- SHA256:
- 13d6b0f60dc370de4e85aae23ac71dd28702699871e2e2115932310bef6ec37a
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