Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use aXhyra/test_hate_trained_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aXhyra/test_hate_trained_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aXhyra/test_hate_trained_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aXhyra/test_hate_trained_test") model = AutoModelForSequenceClassification.from_pretrained("aXhyra/test_hate_trained_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 847133eba1ff4a97d42b81e0999f916c05268b0c6e5b4faac074f3c545169a51
- Size of remote file:
- 268 MB
- SHA256:
- 7a786a334855cef40bf0bd0fe983e97244f75a7ef4d2989df0f495214d1f8cb7
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