Instructions to use eawang/roberta_mc_model_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eawang/roberta_mc_model_2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("eawang/roberta_mc_model_2") model = AutoModelForMultipleChoice.from_pretrained("eawang/roberta_mc_model_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from eawang/roberta_mc_model_2: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/eawang/roberta_mc_model_2/resolve/main/training_args.bin
- Command line
-
hf download hf://eawang/roberta_mc_model_2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eawang/roberta_mc_model_2/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- d322bcf97791ea536b1481b97bb761e295c455f1d90c23ba4db240fe82c104f7
- Size of remote file:
- 3.58 kB
- SHA256:
- a8dbec271d252921485c202a3d333b8353938b8ba3c4c6bcd6087841624ea0fa
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