Instructions to use VaibhS/quantized_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VaibhS/quantized_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("VaibhS/quantized_model") model = AutoModelForSeq2SeqLM.from_pretrained("VaibhS/quantized_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7c6fd04af43cf1de07706e0fb26b460e1d15abefa18934b73bc0dc2e35a5a04
- Size of remote file:
- 973 MB
- SHA256:
- 63d099b55d313807b62e41d366cfa10ec1bf0b84a28f37d9488e55e240950db9
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