Instructions to use gigant/graphlongt5-dependency-0228 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gigant/graphlongt5-dependency-0228 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gigant/graphlongt5-dependency-0228") model = AutoModelForSeq2SeqLM.from_pretrained("gigant/graphlongt5-dependency-0228", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from gigant/graphlongt5-dependency-0228: direct link, hf CLI and curl.
- Browser
- Download file 495 MB
-
https://huggingface.co/gigant/graphlongt5-dependency-0228/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://gigant/graphlongt5-dependency-0228/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/gigant/graphlongt5-dependency-0228/resolve/main/flax_model.msgpack
495 MB
- Xet hash:
- 4e52458c78571e4e8264fa1ee7d6750ea64cf51efb18fd675f679da374e769e6
- Size of remote file:
- 495 MB
- SHA256:
- da1b58024b38b7b86bac71929b1ff8f1b979b006dd50d9e5f16bd804c93626f1
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