Instructions to use inshining/roberta-base-comet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inshining/roberta-base-comet with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("inshining/roberta-base-comet") model = AutoModelForMultipleChoice.from_pretrained("inshining/roberta-base-comet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from inshining/roberta-base-comet: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/inshining/roberta-base-comet/resolve/main/training_args.bin
- Command line
-
hf download hf://inshining/roberta-base-comet/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/inshining/roberta-base-comet/resolve/main/training_args.bin
3.52 kB
- Xet hash:
- 2ae98b1192ddd7e2f3fb5ef792cb7889624fd1777b216f126a3cbec515f53b1e
- Size of remote file:
- 3.52 kB
- SHA256:
- af6ef1bb0933860729da7862e9d8726c468534d18dbd6f1bb5e23ce12d164c5d
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