Instructions to use ibokajordan/MT5_rag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibokajordan/MT5_rag with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ibokajordan/MT5_rag") model = AutoModelForSeq2SeqLM.from_pretrained("ibokajordan/MT5_rag", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20ce3240b2eae9b0da46956b8f72d0da9254d41ac16446daf05d4d6f238485ee
- Size of remote file:
- 16.3 MB
- SHA256:
- 59a46e92c70ae431bcb2de7cf875d9cf2a4eecd1a41c9ed516208800929118a1
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