Instructions to use haoyaqi/scams-report with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haoyaqi/scams-report with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="haoyaqi/scams-report")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("haoyaqi/scams-report") model = AutoModel.from_pretrained("haoyaqi/scams-report", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded finetuned model
- Developed by: haoyaqi
- License: apache-2.0
- Finetuned from model : unsloth/qwen2-vl-7b-instruct-unsloth-bnb-4bit
This qwen2_vl model was trained 2x faster with Unsloth and Huggingface's TRL library.
- Downloads last month
- 10
