Instructions to use smjain/function-calling-60k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use smjain/function-calling-60k 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-60k") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from smjain/function-calling-60k: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/smjain/function-calling-60k/resolve/main/training_args.bin
- Command line
-
hf download hf://smjain/function-calling-60k/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/smjain/function-calling-60k/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- e92a3623363b0c626fac8bd8d8badfd9bb17aa1d0afb621549c295eb1d961498
- Size of remote file:
- 5.43 kB
- SHA256:
- 66bba1267ef182d75e65f459f2bd62730aa395ccbd6477cd7577acc38f19c217
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