Instructions to use chchen/Qwen2.5-7B-Instruct-PsyCourse-fold1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chchen/Qwen2.5-7B-Instruct-PsyCourse-fold1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "chchen/Qwen2.5-7B-Instruct-PsyCourse-fold1") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from chchen/Qwen2.5-7B-Instruct-PsyCourse-fold1: direct link, hf CLI and curl.
- Browser
- Download file 80.8 MB
-
https://huggingface.co/chchen/Qwen2.5-7B-Instruct-PsyCourse-fold1/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://chchen/Qwen2.5-7B-Instruct-PsyCourse-fold1/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/chchen/Qwen2.5-7B-Instruct-PsyCourse-fold1/resolve/main/adapter_model.safetensors
80.8 MB
- Xet hash:
- eb3718c8a32238f9df01d42a0a22e00a70a0d50af2863e707aaff9536441ba12
- Size of remote file:
- 80.8 MB
- SHA256:
- 659849f00566a325bbb5cb0162c578af20b3202f345559aec6c5e7a30a5d03bc
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