Instructions to use masakhane/generative_reader_nq_squad_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/generative_reader_nq_squad_v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("masakhane/generative_reader_nq_squad_v2") model = AutoModelForSeq2SeqLM.from_pretrained("masakhane/generative_reader_nq_squad_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from masakhane/generative_reader_nq_squad_v2: direct link, hf CLI and curl.
- Browser
- Download file 3.77 kB
-
https://huggingface.co/masakhane/generative_reader_nq_squad_v2/resolve/main/training_args.bin
- Command line
-
hf download hf://masakhane/generative_reader_nq_squad_v2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/masakhane/generative_reader_nq_squad_v2/resolve/main/training_args.bin
3.77 kB
- Xet hash:
- 2ffcaa043e250b44e28a22cceb36a8a3ca07ca917baa5a98b7ee002dda037729
- Size of remote file:
- 3.77 kB
- SHA256:
- fc140fd966fae40d3eb302001a60e35e3db199de8dfd3200c3b375dda3c0cc3a
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