Instructions to use daverbj/falcon7bSolr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daverbj/falcon7bSolr with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ybelkada/falcon-7b-sharded-bf16") model = PeftModel.from_pretrained(base_model, "daverbj/falcon7bSolr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- caf60eb6648097064c421fda359d3b31176e70fc5e2f7d12bd37a979cca76a2d
- Size of remote file:
- 522 MB
- SHA256:
- 6c08eca69123468e1e3d8b735e6d272fa5704e1fa566e2ea5fa16d254038cfde
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