Instructions to use devanshamin/Qwen2-1.5B-Instruct-Function-Calling-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use devanshamin/Qwen2-1.5B-Instruct-Function-Calling-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "devanshamin/Qwen2-1.5B-Instruct-Function-Calling-v1") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43db1a035e34f50c43d727dd36d6c9c9133f97a673c324cd830f12ca58354189
- Size of remote file:
- 1.18 GB
- SHA256:
- 78fc03151c4eefb49bcc389e513a6c96107b36b6efcc23132286263635bc798c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.