Instructions to use PavanDeepak/Peft_XLAM_toolcalling_db with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PavanDeepak/Peft_XLAM_toolcalling_db with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Salesforce/xLAM-1b-fc-r") model = PeftModel.from_pretrained(base_model, "PavanDeepak/Peft_XLAM_toolcalling_db") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3cd25276ddbe716450dfbe7ee7be609bf65dd059336df3d95614b85f41a9921b
- Size of remote file:
- 116 MB
- SHA256:
- 135a1ffd17ea5431ab980777ab322c3d9845995a20a56013d092913f821c1c1f
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