Instructions to use din0s/t5-base-eli5-ob with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use din0s/t5-base-eli5-ob with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("din0s/t5-base-eli5-ob") model = AutoModelForSeq2SeqLM.from_pretrained("din0s/t5-base-eli5-ob", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from din0s/t5-base-eli5-ob: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/din0s/t5-base-eli5-ob/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://din0s/t5-base-eli5-ob/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/din0s/t5-base-eli5-ob/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 7f2631fb644e470467bb23684ddc6cccf8b4352ed4f12f64978ad21390668c49
- Size of remote file:
- 892 MB
- SHA256:
- 73ca917b646bbfd526c66b29b2d1b56163d78837e3b80960e400dda10a728c67
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