Instructions to use allenai/PRIMERA-multixscience with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/PRIMERA-multixscience with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("allenai/PRIMERA-multixscience") model = AutoModelForSeq2SeqLM.from_pretrained("allenai/PRIMERA-multixscience", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding generation config file(s)
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Upload README.md with huggingface_hub (#4)
- Upload README.md with huggingface_hub (b8f32491add13e8f4929aaffde0b7473c36e74aa) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>63802f7
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Add trigram block (#3)
- Add trigram block (7300ce2e4c1f446308c85d5336e32b62e684c0d6)69ef13b
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Add default num_beams size to config (#2)
- Add default num_beams size to config (f2648d709db8051328f79dbe7a2cacbb05fba544)288742a
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Fix max_position_embeddings (#1)
- Fix max_position_embeddings (031c5e30d0e02cac8640cfd1a626405e05b7ccee) Co-authored-by: John Giorgi <johngiorgi@users.noreply.huggingface.co>56cd310
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Update README.md
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Upload vocab.json
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Upload tokenizer_config.json
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Upload special_tokens_map.json
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Upload pytorch_model.bin with git-lfs
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Upload merges.txt
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Upload config.json
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Upload added_tokens.json
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Update README.md
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Update README.md
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initial commit
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