Instructions to use VaibhS/quantized_model_update with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VaibhS/quantized_model_update with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("VaibhS/quantized_model_update") model = AutoModelForSeq2SeqLM.from_pretrained("VaibhS/quantized_model_update") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24fb88fe5cd2fb858c1979da99619fea910cca6e3ec77068547cade7b6541b47
- Size of remote file:
- 973 MB
- SHA256:
- 882fd6cdc2e8c639e9bddb20bbe1a47171b73ffac53e368e6bb234e64749ac49
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