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 tokenizer.json from masakhane/generative_reader_nq_squad_v2: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/masakhane/generative_reader_nq_squad_v2/resolve/main/tokenizer.json
- Command line
-
hf download hf://masakhane/generative_reader_nq_squad_v2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/masakhane/generative_reader_nq_squad_v2/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- d6e9c69d621c1be35538f77c4cb93ba6a08fc574e571fba582c6a09919f23b06
- Size of remote file:
- 16.3 MB
- SHA256:
- 6a2367c5e6ea9fd74eb410302c1e4a85d8cc1a017d68ae472c7facdc60d95c32
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