Instructions to use jaimin/T5-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaimin/T5-Large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jaimin/T5-Large") model = AutoModelForSeq2SeqLM.from_pretrained("jaimin/T5-Large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jaimin/T5-Large: direct link, hf CLI and curl.
- Browser
- Download file 2.95 GB
-
https://huggingface.co/jaimin/T5-Large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jaimin/T5-Large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jaimin/T5-Large/resolve/main/pytorch_model.bin
2.95 GB
- Xet hash:
- 35b2c36f75fa478aaf5db804cecb91932a8c22cb37d2559642bbec8467a6b7ca
- Size of remote file:
- 2.95 GB
- SHA256:
- f693da15e118f8fa7cac10cdba3d2605eafb3e897959230b1ece4c25abb2dc36
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