Instructions to use subu4444/angular-ut-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use subu4444/angular-ut-generator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("subu4444/angular-ut-generator") model = AutoModelForSeq2SeqLM.from_pretrained("subu4444/angular-ut-generator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 141a8155a091c32863602e9a4ef7cef1f1f2a9290c6f85219056d569a7a349c8
- Size of remote file:
- 2.95 GB
- SHA256:
- 3fd237a5dcd002880a3f453797d9f67d894e941f525eef29f6b049fef3f10555
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