Instructions to use hawalurahman/idt5-base-mcqg-RACE-id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hawalurahman/idt5-base-mcqg-RACE-id with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hawalurahman/idt5-base-mcqg-RACE-id") model = AutoModelForSeq2SeqLM.from_pretrained("hawalurahman/idt5-base-mcqg-RACE-id", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hawalurahman/idt5-base-mcqg-RACE-id: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/hawalurahman/idt5-base-mcqg-RACE-id/resolve/main/training_args.bin
- Command line
-
hf download hf://hawalurahman/idt5-base-mcqg-RACE-id/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hawalurahman/idt5-base-mcqg-RACE-id/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- 3281833a069ad97777db50f05d7ce422452eeac7da0283230016752befd8ee4e
- Size of remote file:
- 5.91 kB
- SHA256:
- 0eb41a4011c577a534a5450757842ad057f2d4577f63c4e83aad771fb56969a1
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