Instructions to use JasonXu/lab4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JasonXu/lab4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JasonXu/lab4") model = AutoModelForSeq2SeqLM.from_pretrained("JasonXu/lab4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dae23415bd7681f8057521f4877a7fe469291fc9054a82e70b5aaaf10c0e9022
- Size of remote file:
- 131 MB
- SHA256:
- 10b50c2d5e0aca0c1bed95f77461a09174dcf0d2d7c8f1e56e592dd12d052b7d
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