Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use DaJulster/Harm_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DaJulster/Harm_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DaJulster/Harm_detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DaJulster/Harm_detection") model = AutoModelForSequenceClassification.from_pretrained("DaJulster/Harm_detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d1036a645c6d1fa94fbd40892c3ce2488265a814fcb1656bee5ae8a53b59805
- Size of remote file:
- 4.92 kB
- SHA256:
- 760259abefdaabfec394592ecb21ad68971396df1bce8b1b284a38317e877124
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