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 pytorch_model.bin from shed-e/testgen: direct link, hf CLI and curl.
- Browser
- Download file 666 MB
-
https://huggingface.co/shed-e/testgen/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://shed-e/testgen/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/shed-e/testgen/resolve/main/pytorch_model.bin
666 MB
- Xet hash:
- acd23b7d3451f0c33ff76b497b157ae64b3a7f2ffe97ee4328eb1fd2a27e1eba
- Size of remote file:
- 666 MB
- SHA256:
- c20482c2107b422fac809200f1968a3c08f41b05bc26614a426edade884036e3
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