Instructions to use pere/clip-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pere/clip-roberta-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pere/clip-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from pere/clip-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 852 MB
-
https://huggingface.co/pere/clip-roberta-base/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://pere/clip-roberta-base/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/pere/clip-roberta-base/resolve/main/flax_model.msgpack
852 MB
- Xet hash:
- 5e9533ae43c451d1b098d9102714d6424c54e46a240b2b50de29e0055e0a6c76
- Size of remote file:
- 852 MB
- SHA256:
- d715f2cd82705e1bcccabb6d170d2ad9e27bf81d5b825cac5bfdd41bf3d7fbf3
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