Instructions to use shed-e/testgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shed-e/testgen with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shed-e/testgen") model = AutoModelForSeq2SeqLM.from_pretrained("shed-e/testgen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from shed-e/testgen: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/shed-e/testgen/resolve/main/training_args.bin
- Command line
-
hf download hf://shed-e/testgen/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/shed-e/testgen/resolve/main/training_args.bin
3.52 kB
- Xet hash:
- 8303223b6b53ebd5e8f2e4878e32221be7309b42886bb2b8e99be3722771c6c6
- Size of remote file:
- 3.52 kB
- SHA256:
- 107fc59c50d399729c9a34a2e4c6890d587ceb64aa3f7fcd4825fabac7fdd0e0
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