Instructions to use yirenl2/RQ_generation_bart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yirenl2/RQ_generation_bart with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yirenl2/RQ_generation_bart") model = AutoModelForSeq2SeqLM.from_pretrained("yirenl2/RQ_generation_bart", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from yirenl2/RQ_generation_bart: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/yirenl2/RQ_generation_bart/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://yirenl2/RQ_generation_bart/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/yirenl2/RQ_generation_bart/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- acc290ec78c629989a6eaa255e4e93721972686e812c8ce8db607fee793ace1d
- Size of remote file:
- 558 MB
- SHA256:
- 613b9b6fe431c1f82e2bec492a78a465767c65aef7fc444a9006a2bec083d2e3
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