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 pytorch_model.bin from inshining/roberta-base-comet: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/inshining/roberta-base-comet/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://inshining/roberta-base-comet/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/inshining/roberta-base-comet/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 420db50f9996fe5bc15d419027424bb73d9030ff7045116d33b250fc9878ca23
- Size of remote file:
- 499 MB
- SHA256:
- 84894d291c950134c13317c072de167532aebd5cc678bdbb604098f484253fa9
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