Instructions to use eawang/roberta_mc_model_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eawang/roberta_mc_model_6 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("eawang/roberta_mc_model_6") model = AutoModelForMultipleChoice.from_pretrained("eawang/roberta_mc_model_6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from eawang/roberta_mc_model_6: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/eawang/roberta_mc_model_6/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://eawang/roberta_mc_model_6/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/eawang/roberta_mc_model_6/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 987c536b3a060be6b605540cfaefe7818497f041eee44c59176e5931b5ae0d7c
- Size of remote file:
- 499 MB
- SHA256:
- c795aaaf90fa3f13750ef54900a0250ecb02c9df1d641b832fae909aa270ffe0
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