Instructions to use reasonwang/t5-large-alpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reasonwang/t5-large-alpaca with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("reasonwang/t5-large-alpaca") model = AutoModelForSeq2SeqLM.from_pretrained("reasonwang/t5-large-alpaca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7fc0c1056aab70759d62c1645fe498d699664a56c4ba667c60d9280431b57b7
- Size of remote file:
- 2.95 GB
- SHA256:
- 0f668e8bb4349f087488ef1d0306d571260367df0da016a6db541a6d8d5794eb
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