Instructions to use ratishsp/Centrum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ratishsp/Centrum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ratishsp/Centrum") model = AutoModelForSeq2SeqLM.from_pretrained("ratishsp/Centrum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e01d25cfb47f6c97800ff3096a07a4baac45b2ceec7662eda43c4ba1e822866c
- Size of remote file:
- 610 MB
- SHA256:
- 6f32eb82307718433cdc1e4683b80a996130bc37ad24e5c459f1b503aee8ec9a
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