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 training_args.bin from aXhyra/hate_trained_final: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/aXhyra/hate_trained_final/resolve/main/training_args.bin
- Command line
-
hf download hf://aXhyra/hate_trained_final/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aXhyra/hate_trained_final/resolve/main/training_args.bin
2.86 kB
- Xet hash:
- e32072ba9c956a61af0e477957c49d819ad89551c020244f26808c2f91ed0cab
- Size of remote file:
- 2.86 kB
- SHA256:
- dee030a4c66a0f707a4fbd19304edd92b4aac09726046b26a053cebb12c0d31f
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