Instructions to use jaimin/T5-Large-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaimin/T5-Large-ONNX with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jaimin/T5-Large-ONNX") model = AutoModelForSeq2SeqLM.from_pretrained("jaimin/T5-Large-ONNX", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download T5-Large-decoder.onnx from jaimin/T5-Large-ONNX: direct link, hf CLI and curl.
- Browser
- Download file 1.67 GB
-
https://huggingface.co/jaimin/T5-Large-ONNX/resolve/main/T5-Large-decoder.onnx
- Command line
-
hf download hf://jaimin/T5-Large-ONNX/T5-Large-decoder.onnx
-
curl -L -o T5-Large-decoder.onnx https://huggingface.co/jaimin/T5-Large-ONNX/resolve/main/T5-Large-decoder.onnx
1.67 GB
- Xet hash:
- ee62ce8a56f19e92c092ce2ac8bf6c37ac56e53fbc549e89edf87c2f7f48a69b
- Size of remote file:
- 1.67 GB
- SHA256:
- 461d795f938406490e2b2b96749cc0a7d86ab5b4eb4e90b383ccc69e5f77bf5e
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