Instructions to use Shankhdhar/classifier_onnx_firstbud_updated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shankhdhar/classifier_onnx_firstbud_updated with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Shankhdhar/classifier_onnx_firstbud_updated")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Shankhdhar/classifier_onnx_firstbud_updated") model = AutoModel.from_pretrained("Shankhdhar/classifier_onnx_firstbud_updated") - Notebooks
- Google Colab
- Kaggle
Upload model_optimized.onnx with huggingface_hub
Browse files- model_optimized.onnx +3 -0
model_optimized.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:b95f317ebde8a95dec24b63e766d9bb3edb78989017af3071b0a978c44b2b9b8
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size 217897436
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