Instructions to use eaglewatch/CBT_model_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eaglewatch/CBT_model_2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("eaglewatch/CBT_model_2") model = AutoModelForSeq2SeqLM.from_pretrained("eaglewatch/CBT_model_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from eaglewatch/CBT_model_2: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/eaglewatch/CBT_model_2/resolve/main/training_args.bin
- Command line
-
hf download hf://eaglewatch/CBT_model_2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eaglewatch/CBT_model_2/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 4c5b96d9e5bd523435c436db395a96ae21fd72fe864cf494f3b13e8f481ab818
- Size of remote file:
- 4.73 kB
- SHA256:
- 78c2a4639efc54cda804648af9b673748df67ed58029c20b3ea7587c766a7a04
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