Instructions to use reasonwang/t5-small-alpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reasonwang/t5-small-alpaca with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("reasonwang/t5-small-alpaca") model = AutoModelForSeq2SeqLM.from_pretrained("reasonwang/t5-small-alpaca", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8621a31a75c0c28ef3730525d6d5f3931580fdcd23463b74ee5f79f8e6a7303d
- Size of remote file:
- 242 MB
- SHA256:
- 886cb8012fb85f9b76b4d11564f3c0ce403dae55d0c9f18bf648bfb96d5d8c32
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