Instructions to use inshining/roberta-base-common with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inshining/roberta-base-common with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("inshining/roberta-base-common") model = AutoModelForMultipleChoice.from_pretrained("inshining/roberta-base-common", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from inshining/roberta-base-common: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/inshining/roberta-base-common/resolve/main/training_args.bin
- Command line
-
hf download hf://inshining/roberta-base-common/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/inshining/roberta-base-common/resolve/main/training_args.bin
3.52 kB
- Xet hash:
- 630a796d69f171cc7104627bdab1b2c5a973ae8d11e28758e400276daeb89e1d
- Size of remote file:
- 3.52 kB
- SHA256:
- 35355d9c7cbb2f844437e371ed725a356db856bf387383fec39304553bed3141
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