Instructions to use flax-community/t5-base-openwebtext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/t5-base-openwebtext with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("flax-community/t5-base-openwebtext") model = AutoModelForSeq2SeqLM.from_pretrained("flax-community/t5-base-openwebtext", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from flax-community/t5-base-openwebtext: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/flax-community/t5-base-openwebtext/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://flax-community/t5-base-openwebtext/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/flax-community/t5-base-openwebtext/resolve/main/flax_model.msgpack
892 MB
- Xet hash:
- fe2e38cf56788cf7b66c31c3a02918aee04710d0359ebb88e232caf660d2a9a7
- Size of remote file:
- 892 MB
- SHA256:
- 8fcf24974c68133bba40e4ccc44bcf81a45623b48a7fb9b69e9ff1d3ff97233f
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