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
Download adapter_model.safetensors from smjain/function-calling: direct link, hf CLI and curl.
- Browser
- Download file 73.9 MB
-
https://huggingface.co/smjain/function-calling/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://smjain/function-calling/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/smjain/function-calling/resolve/main/adapter_model.safetensors
73.9 MB
- Xet hash:
- b79dc1298823b51ee57f96c456f7db96d2088a0b7e766cc8c04a5d45ed8aa499
- Size of remote file:
- 73.9 MB
- SHA256:
- 531263e8f377260c7f6584d35a2cd423c0ebe95321c489519a9da467c68d9bf1
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