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 training_args.bin from eaglewatch/CBT_model_3: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/eaglewatch/CBT_model_3/resolve/main/training_args.bin
- Command line
-
hf download hf://eaglewatch/CBT_model_3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eaglewatch/CBT_model_3/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- 61993e6048bc012ac59ff2d1c7c8561e55cdcbed2535cbd37924b887a383327a
- Size of remote file:
- 4.54 kB
- SHA256:
- 2addcb014b744944fd611fcf4788c03c50aedc322fc52b7a2d0b6ad7cfb42109
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