Instructions to use divers/QG-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use divers/QG-t5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("divers/QG-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("divers/QG-t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from divers/QG-t5-base: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/divers/QG-t5-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://divers/QG-t5-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/divers/QG-t5-base/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- ef2e1fe44da1712858c0884fa35a4b1dcdd34c8fc44f5b266d164d4121cbd21c
- Size of remote file:
- 892 MB
- SHA256:
- fafd53ad357125a4c64421cf8f12b53a84f2c5c74a843e9b4db3ab8e82391057
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