Instructions to use gillyg/lab1_random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gillyg/lab1_random with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gillyg/lab1_random") model = AutoModelForSeq2SeqLM.from_pretrained("gillyg/lab1_random") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28bfd6b4237da89ed8ffd925a80b264199232f5bd0c1245b53367302e8e3ce7d
- Size of remote file:
- 5.97 kB
- SHA256:
- ab6847d1a5306267bd91d356ea5004d17f831d1b3161d301b9ffa1788fa2829d
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