Instructions to use faresfawzi/QG_t5_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use faresfawzi/QG_t5_small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("faresfawzi/QG_t5_small") model = AutoModelForSeq2SeqLM.from_pretrained("faresfawzi/QG_t5_small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from faresfawzi/QG_t5_small: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/faresfawzi/QG_t5_small/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://faresfawzi/QG_t5_small/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/faresfawzi/QG_t5_small/resolve/main/pytorch_model.bin
242 MB
- Xet hash:
- b4c27058446a946871170482b7a178565615adccf714627120295f366a3e8c23
- Size of remote file:
- 242 MB
- SHA256:
- 6ce2e9e0ee25f421709804c3999a29fcad6aa2c51f79e572b697436e50e45860
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