Instructions to use thenlpresearcher/Qwen_Qwen2_5-7B_StereoDetect_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thenlpresearcher/Qwen_Qwen2_5-7B_StereoDetect_Model with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("Qwen/Qwen2.5-7B") model = PeftModel.from_pretrained(base_model, "thenlpresearcher/Qwen_Qwen2_5-7B_StereoDetect_Model") - Transformers
How to use thenlpresearcher/Qwen_Qwen2_5-7B_StereoDetect_Model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("thenlpresearcher/Qwen_Qwen2_5-7B_StereoDetect_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from thenlpresearcher/Qwen_Qwen2_5-7B_StereoDetect_Model: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/thenlpresearcher/Qwen_Qwen2_5-7B_StereoDetect_Model/resolve/main/training_args.bin
- Command line
-
hf download hf://thenlpresearcher/Qwen_Qwen2_5-7B_StereoDetect_Model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/thenlpresearcher/Qwen_Qwen2_5-7B_StereoDetect_Model/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- bc1815cb3ccb74c3c559d3131d5b51993012d7bcd001c36ba10c5adc552a00cf
- Size of remote file:
- 5.3 kB
- SHA256:
- 3eda0e7e994acbe8f30d22307546d77e6bdf826d2706f5efa4ad017ef299e59c
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