Instructions to use eawang/roberta_mc_model_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eawang/roberta_mc_model_4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("eawang/roberta_mc_model_4") model = AutoModelForMultipleChoice.from_pretrained("eawang/roberta_mc_model_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from eawang/roberta_mc_model_4: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/eawang/roberta_mc_model_4/resolve/main/training_args.bin
- Command line
-
hf download hf://eawang/roberta_mc_model_4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eawang/roberta_mc_model_4/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 891e702496a57626da74003e7eebfcef3a851e87b3cfecd11895684ec2380e3f
- Size of remote file:
- 3.58 kB
- SHA256:
- 2eb22464eb3f90f21e9ea1fd02ba0e7c7d8018fba738c350d1ba97456120a4bb
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