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:
- c54df7f657a30e399767bbce8539018c3bb96d542e914f0d560a345ea2844ab1
- Size of remote file:
- 3.76 kB
- SHA256:
- f2cff5695acf51d4ce3eb7ca0ce822bec1f88009d90b7fa93d343f5b83056199
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