Instructions to use GenTelLab/gentelshield-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GenTelLab/gentelshield-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GenTelLab/gentelshield-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("GenTelLab/gentelshield-v1") model = AutoModelForSequenceClassification.from_pretrained("GenTelLab/gentelshield-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download images/heatmap.svg from GenTelLab/gentelshield-v1: direct link, hf CLI and curl.
- Browser
- Download file 110 kB
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https://huggingface.co/GenTelLab/gentelshield-v1/resolve/main/images/heatmap.svg
- Command line
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hf download hf://GenTelLab/gentelshield-v1/images/heatmap.svg
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curl -L -o heatmap.svg https://huggingface.co/GenTelLab/gentelshield-v1/resolve/main/images/heatmap.svg
110 kB