Instructions to use smjain/function-calling_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use smjain/function-calling_train 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_train") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2bef4a8f3083938f10a6e2b9b76f63ec3aa2a3801b86f783886df6416c1f17f3
- Size of remote file:
- 5.43 kB
- SHA256:
- 422a37e4973e933e9b55493c0fb86ea3c5fd5543e289c1704b2987a801347875
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