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 pytorch_model.bin from inshining/roberta-base-common: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/inshining/roberta-base-common/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://inshining/roberta-base-common/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/inshining/roberta-base-common/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 55d774748df648f611e9244709e61a16e3ad3e1709cbdb6d71c48865a4761b23
- Size of remote file:
- 499 MB
- SHA256:
- 1b26c371c889034024c76af8d473439383a09f72fc103591d72a74da84db21e9
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