Instructions to use versae/t5-7m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use versae/t5-7m with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("versae/t5-7m") model = AutoModelForSeq2SeqLM.from_pretrained("versae/t5-7m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from versae/t5-7m: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/versae/t5-7m/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://versae/t5-7m/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/versae/t5-7m/resolve/main/flax_model.msgpack
990 MB
- Xet hash:
- 1dd7fb148c11092065aa471f7ad249b2e0323bf9dceabe162c1b88d5dcd9e774
- Size of remote file:
- 990 MB
- SHA256:
- c6dd71a1f90bb9e7e39cc04f7a8360cddf21d0a654dd92caf97d143138668d97
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