Instructions to use OumaymaELBIACH/Results_biomistral_cadec_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OumaymaELBIACH/Results_biomistral_cadec_v3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OumaymaELBIACH/Results_biomistral_cadec_v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from OumaymaELBIACH/Results_biomistral_cadec_v3: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/OumaymaELBIACH/Results_biomistral_cadec_v3/resolve/main/training_args.bin
- Command line
-
hf download hf://OumaymaELBIACH/Results_biomistral_cadec_v3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/OumaymaELBIACH/Results_biomistral_cadec_v3/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- cc02a93403ea3573e29e8e3a57f9eb4f6a9069a75dc732853eec544e4b4c8e4d
- Size of remote file:
- 5.62 kB
- SHA256:
- d2e16b7a8dc9f2d41ed82716a72cf81f1c105114d7581e7e246010b0b962818a
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