Instructions to use gigant/graphlongt5-structural-dependency-0408 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gigant/graphlongt5-structural-dependency-0408 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gigant/graphlongt5-structural-dependency-0408") model = AutoModelForSeq2SeqLM.from_pretrained("gigant/graphlongt5-structural-dependency-0408", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from gigant/graphlongt5-structural-dependency-0408: direct link, hf CLI and curl.
- Browser
- Download file 495 MB
-
https://huggingface.co/gigant/graphlongt5-structural-dependency-0408/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://gigant/graphlongt5-structural-dependency-0408/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/gigant/graphlongt5-structural-dependency-0408/resolve/main/flax_model.msgpack
495 MB
- Xet hash:
- a60f19cd6cf4c93f1532877065350d3dfa65701724dd459464984d98ace69367
- Size of remote file:
- 495 MB
- SHA256:
- f3f077c30f3b68dc7f3d058e721f6ca726b471b0fd611e285e51b619f250e1d8
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