Instructions to use svjack/Qwen2-7B_Function_Call_tiny_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use svjack/Qwen2-7B_Function_Call_tiny_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "svjack/Qwen2-7B_Function_Call_tiny_lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0f418cf1e66dec0a5bf13864c5fa250b77e5e7b2bec442a32ccd0302e982bc8
- Size of remote file:
- 5.3 kB
- SHA256:
- 661318f0adf1e9b7779e5ab9012273df3a3e9d25b7c3db616fe15b58a8fb6da7
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