Instructions to use eaglewatch/CBT_model_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eaglewatch/CBT_model_3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("eaglewatch/CBT_model_3") model = AutoModelForSeq2SeqLM.from_pretrained("eaglewatch/CBT_model_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from eaglewatch/CBT_model_3: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/eaglewatch/CBT_model_3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://eaglewatch/CBT_model_3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/eaglewatch/CBT_model_3/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 9c9e1bb9f9d16ac0fd379931467aa76bb7ba3e3a108303306e53ecc73a5826ff
- Size of remote file:
- 892 MB
- SHA256:
- b71f706fa73bc3450eb7f438ff26192ae8433575a1e5cf08140d42245140c4ca
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