Instructions to use google/t5-v1_1-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-v1_1-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-v1_1-small") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-v1_1-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from google/t5-v1_1-small: direct link, hf CLI and curl.
- Browser
- Download file 308 MB
-
https://huggingface.co/google/t5-v1_1-small/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://google/t5-v1_1-small/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/google/t5-v1_1-small/resolve/main/pytorch_model.bin
308 MB
- Xet hash:
- 5348080e5740960a4e875ebff52bbbf559090cf5c8843a884ee86dd426955b70
- Size of remote file:
- 308 MB
- SHA256:
- 7c9a3e998a8c74b52484f3a1ccfdcc9767972ee6b34ae7a527cdf6f972a34163
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