Instructions to use HelloRusk/t5-base-parasci with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HelloRusk/t5-base-parasci with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HelloRusk/t5-base-parasci") model = AutoModelForSeq2SeqLM.from_pretrained("HelloRusk/t5-base-parasci", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from HelloRusk/t5-base-parasci: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/HelloRusk/t5-base-parasci/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://HelloRusk/t5-base-parasci/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/HelloRusk/t5-base-parasci/resolve/main/flax_model.msgpack
892 MB
- Xet hash:
- 3138131b564686cedad3f26d1a14c35b8041decbc18b2df06985e5a7acd411b5
- Size of remote file:
- 892 MB
- SHA256:
- a8b4dc53c586e8784dfae26b49038fa2ec76cd8ef3d58235c5a8f85b31362791
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