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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e09f782d48a3492680d4e379700a6a047c165759920be371d59a3f1ea22e4b99
- Size of remote file:
- 5.97 kB
- SHA256:
- 74786acc93a4461ea5cc2aa513ad8f7094ecc0572d1fd8a15547bfca80d62235
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