Instructions to use reasonwang/flan-t5-xl-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reasonwang/flan-t5-xl-8bit with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("reasonwang/flan-t5-xl-8bit") model = AutoModelForSeq2SeqLM.from_pretrained("reasonwang/flan-t5-xl-8bit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97b47fa37686fd1baec8800e451afcc890467f8336c11d27087bcfe4e7f6adf7
- Size of remote file:
- 4.5 GB
- SHA256:
- a107fc37855575d790835a49778931d45a48b77dd1954f7fb736be21f9e1d82c
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