Instructions to use gigant/graphlongt5-structural-0320 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gigant/graphlongt5-structural-0320 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gigant/graphlongt5-structural-0320") model = AutoModelForSeq2SeqLM.from_pretrained("gigant/graphlongt5-structural-0320", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from gigant/graphlongt5-structural-0320: direct link, hf CLI and curl.
- Browser
- Download file 495 MB
-
https://huggingface.co/gigant/graphlongt5-structural-0320/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://gigant/graphlongt5-structural-0320/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/gigant/graphlongt5-structural-0320/resolve/main/flax_model.msgpack
495 MB
- Xet hash:
- 4793d234a4648bc03f63d53181c4edc5b29bc5c169d96b8f1d794a7f9c3d6a05
- Size of remote file:
- 495 MB
- SHA256:
- a190fdc1b81aef6b1847ce751be0c1958a3549d5a3accf3b9a700692f52e9031
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