Instructions to use smjain/function-calling-30k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use smjain/function-calling-30k 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-30k") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from smjain/function-calling-30k: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/smjain/function-calling-30k/resolve/main/training_args.bin
- Command line
-
hf download hf://smjain/function-calling-30k/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/smjain/function-calling-30k/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 847179b5ee107d2ae7ea4a3826ca538ff2aca88575e4733c7bdc4af7b1a85070
- Size of remote file:
- 5.43 kB
- SHA256:
- ec83d8b719e48c7e6adc880d4bed5f2139f446a5651612c707760669e68dc0da
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