Instructions to use smjain/function-calling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use smjain/function-calling with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2.5-coder-1.5b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "smjain/function-calling") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e62aee30bf43e463dc279ef036eb957e0727316b362bac769b65c3fb603701d
- Size of remote file:
- 38 MB
- SHA256:
- 42f268b95a4b6afab5f423b11e086d8e0137cddb933a4c8fe1f0c7ef34ba9c0c
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