Instructions to use divers/AE-t5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use divers/AE-t5-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("divers/AE-t5-large") model = AutoModelForSeq2SeqLM.from_pretrained("divers/AE-t5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from divers/AE-t5-large: direct link, hf CLI and curl.
- Browser
- Download file 2.95 GB
-
https://huggingface.co/divers/AE-t5-large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://divers/AE-t5-large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/divers/AE-t5-large/resolve/main/pytorch_model.bin
2.95 GB
- Xet hash:
- 65bec28da29c5fc8ef2dfdd3b6a0e0aa196ee5af01b44767ed99ccdde3122a27
- Size of remote file:
- 2.95 GB
- SHA256:
- 199920d69bfc6583e83b5496ce42575dd9bf4af94fb1ca8579159748d0d42734
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