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:
- 82686ed3f2a30a5f432acc054fa8ec8397c6bca081b3a336efe8409729ee4f62
- Size of remote file:
- 5.37 kB
- SHA256:
- 5822c0c08ba791c5386f202dbe3343a0b5a8af10ee0bbc901c507a8d05842aae
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