Instructions to use dmmagdal/flan-t5-large-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmmagdal/flan-t5-large-onnx with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dmmagdal/flan-t5-large-onnx") model = AutoModelForSeq2SeqLM.from_pretrained("dmmagdal/flan-t5-large-onnx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33071d83c3f50e74ed3918d9d24d68add4293e354a3a6138175b6f9fb8ebf835
- Size of remote file:
- 1.9 GB
- SHA256:
- e5b0acba61c83dbadbbf515aa651317fb9e164823cd561c484fd9e6537309070
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