Instructions to use gigant/graphlongt5-dependency-0308 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gigant/graphlongt5-dependency-0308 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gigant/graphlongt5-dependency-0308") model = AutoModelForSeq2SeqLM.from_pretrained("gigant/graphlongt5-dependency-0308", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from gigant/graphlongt5-dependency-0308: direct link, hf CLI and curl.
- Browser
- Download file 495 MB
-
https://huggingface.co/gigant/graphlongt5-dependency-0308/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://gigant/graphlongt5-dependency-0308/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/gigant/graphlongt5-dependency-0308/resolve/main/flax_model.msgpack
495 MB
- Xet hash:
- 5754928eafcd427ffffb84e83e746edce17fad8e1cd3af7647d5ae95e43b124e
- Size of remote file:
- 495 MB
- SHA256:
- 8986d5a5b9d544e0d8d60006cbb4327a239326292f89c2e77eceeb796e3c356b
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