Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Orlandovpjunior/hate-speech-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Orlandovpjunior/hate-speech-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Orlandovpjunior/hate-speech-test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Orlandovpjunior/hate-speech-test") model = AutoModelForSequenceClassification.from_pretrained("Orlandovpjunior/hate-speech-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dabef2f8dcc14ea400cb1ddbb2820e8e980536206cee76cf9ff5f7389bcb3703
- Size of remote file:
- 5.52 kB
- SHA256:
- 16e80ec57a3dfe5354d2403924f23d015edb774dd0ed121ac7a16997705daeda
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