Instructions to use Shankhdhar/classifier_onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shankhdhar/classifier_onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Shankhdhar/classifier_onnx")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Shankhdhar/classifier_onnx") model = AutoModel.from_pretrained("Shankhdhar/classifier_onnx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload model_optimized.onnx with huggingface_hub
Browse files- model_optimized.onnx +2 -2
model_optimized.onnx
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