Instructions to use CarperAI/carptriever-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CarperAI/carptriever-1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, Contriever tokenizer = AutoTokenizer.from_pretrained("CarperAI/carptriever-1") model = Contriever.from_pretrained("CarperAI/carptriever-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update model with weights trained on deduplicated `The Pile` (#1)
- [update] Release model weights from deduped Pile training (04653c1139332fc0745f4c0290f25ccb0e8d090b) - [fix] Make `Training Data` section header-2 (7664ba3e78aae9c3b90389cb3241fbcb8e9f0b69)e0c4448
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Update model name after org rename
a4ee477 -
Update model name in usage example
9b92baf -
Create README.md
b81467f -
Upload tokenizer
760864a -
Upload Contriever
c001f7d -
initial commit
696cb57