Text Classification
Transformers
Safetensors
English
Korean
Japanese
qev_decision_merged
feature-extraction
qev
typed-decision
custom-code
bf16
custom_code
Instructions to use querypieai/QEV-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use querypieai/QEV-9B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="querypieai/QEV-9B", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("querypieai/QEV-9B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download backbone/generation_config.json from querypieai/QEV-9B: direct link, hf CLI and curl.
- Browser
- Download file 116 Bytes
-
https://huggingface.co/querypieai/QEV-9B/resolve/main/backbone/generation_config.json
- Command line
-
hf download hf://querypieai/QEV-9B/backbone/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/querypieai/QEV-9B/resolve/main/backbone/generation_config.json
116 Bytes
| { | |
| "_from_model_config": true, | |
| "eos_token_id": 248044, | |
| "transformers_version": "5.17.0", | |
| "use_cache": true | |
| } | |