Instructions to use eaglewatch/CBT_model_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eaglewatch/CBT_model_1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("eaglewatch/CBT_model_1") model = AutoModelForSeq2SeqLM.from_pretrained("eaglewatch/CBT_model_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from eaglewatch/CBT_model_1: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/eaglewatch/CBT_model_1/resolve/main/training_args.bin
- Command line
-
hf download hf://eaglewatch/CBT_model_1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eaglewatch/CBT_model_1/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- 3c10ab0a8bc5075d56147be3a6f4f1229c24c3f3d9375be34498304bada6152c
- Size of remote file:
- 4.54 kB
- SHA256:
- 010ff52267ab53b43496173283ac065344c95f0425120e92b3088ef10ed32820
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