Instructions to use ratishsp/Centrum-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ratishsp/Centrum-Large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ratishsp/Centrum-Large") model = AutoModelForSeq2SeqLM.from_pretrained("ratishsp/Centrum-Large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73bd739d75b1ed1422ce6acf431d11917ed8534a50ba4629477d3b3b71153561
- Size of remote file:
- 1.79 GB
- SHA256:
- 95ddb4ef9e51bc6de78c2c9c7ac0d92951df8d0c1b18c8ac5aa1352b7e052ddb
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