Instructions to use Prathyusha101/quantized_model_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prathyusha101/quantized_model_2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Prathyusha101/quantized_model_2") model = AutoModelForSeq2SeqLM.from_pretrained("Prathyusha101/quantized_model_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25da313e6523658239d5e7648086bbfc3b6add2d14d4d1285941bc8986f1cf5b
- Size of remote file:
- 341 MB
- SHA256:
- 056a922809c485b4e581025a448c8890dafe8629d3a584a9128f179af1a8bb00
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