Instructions to use dmmagdal/flan-t5-base-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmmagdal/flan-t5-base-onnx with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dmmagdal/flan-t5-base-onnx") model = AutoModelForSeq2SeqLM.from_pretrained("dmmagdal/flan-t5-base-onnx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ed48a70dad2a9bbda88f2b4c4407a85ba5d3c6b41e587a195f85f236c2a7906
- Size of remote file:
- 651 MB
- SHA256:
- 3a35c5929ad79f5d317d357193b53956ea750222e481a2042b0be92f5677104a
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