Instructions to use LayanSh1/policy-reader-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LayanSh1/policy-reader-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LayanSh1/policy-reader-roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LayanSh1/policy-reader-roberta") model = AutoModelForSequenceClassification.from_pretrained("LayanSh1/policy-reader-roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download onnx/model_quantized.onnx from LayanSh1/policy-reader-roberta: direct link, hf CLI and curl.
- Browser
- Download file 126 MB
-
https://huggingface.co/LayanSh1/policy-reader-roberta/resolve/main/onnx/model_quantized.onnx
- Command line
-
hf download hf://LayanSh1/policy-reader-roberta/onnx/model_quantized.onnx
-
curl -L -o model_quantized.onnx https://huggingface.co/LayanSh1/policy-reader-roberta/resolve/main/onnx/model_quantized.onnx
126 MB
- Xet hash:
- e9861fc9246a9a808a262cd7d43a4a8eb42f1886a0068a7e7fac742df4837c8f
- Size of remote file:
- 126 MB
- SHA256:
- 03f467fc823e43b41a8bb60fb0814cdab22669a8ea7cb0819d023ca680a1ade5
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