Instructions to use reasonwang/google-flan-t5-base-alpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reasonwang/google-flan-t5-base-alpaca with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("reasonwang/google-flan-t5-base-alpaca") model = AutoModelForSeq2SeqLM.from_pretrained("reasonwang/google-flan-t5-base-alpaca", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1e83d0ed1e923794355665004c0ae9d4ad840cb8267d7773c0b033713934f8d
- Size of remote file:
- 990 MB
- SHA256:
- 605cc53c52735b14d4bde3bb9413636eb5c4aab641c542bec037b936d103bf83
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