Instructions to use SNALYF/lab1_random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SNALYF/lab1_random with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SNALYF/lab1_random") model = AutoModelForSeq2SeqLM.from_pretrained("SNALYF/lab1_random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce60641769ef1f9bad3bdd863ddf75233bb3d35202607ef334a3e9401d5c660b
- Size of remote file:
- 299 MB
- SHA256:
- 377eec8a6357dfc4993e6c6630de9358775e8b7182acf1e8ab922cf779f32bbd
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