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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 006e24defd373a4e43ccf241905a4ae5bcf7e15a08f85a5ebf7beab190935777
- Size of remote file:
- 1.11 GB
- SHA256:
- 54097c9a6e6c458bd318b64a5e36accd14c00f29317c58f1a19f3bcaa22464bb
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