Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use aXhyra/hate_trained_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aXhyra/hate_trained_final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aXhyra/hate_trained_final")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aXhyra/hate_trained_final") model = AutoModelForSequenceClassification.from_pretrained("aXhyra/hate_trained_final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from aXhyra/hate_trained_final: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/aXhyra/hate_trained_final/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://aXhyra/hate_trained_final/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/aXhyra/hate_trained_final/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 7a52c34e8b6b001aeb3595e0a50a426acccd429594a5d4bb23086c6370773e31
- Size of remote file:
- 268 MB
- SHA256:
- 149e5aa21adc3cb623406a2d656f03a1fe3b40baa5732590cc73a79452b33ece
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