Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use aXhyra/hate_trained_42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aXhyra/hate_trained_42 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aXhyra/hate_trained_42")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aXhyra/hate_trained_42") model = AutoModelForSequenceClassification.from_pretrained("aXhyra/hate_trained_42", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from aXhyra/hate_trained_42: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/aXhyra/hate_trained_42/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://aXhyra/hate_trained_42/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/aXhyra/hate_trained_42/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 1b0cce7ad391a8840ee52efd6664d3aa64ce5ba2fa6f47f165cee31ed42594bc
- Size of remote file:
- 268 MB
- SHA256:
- 377fc192d1bef33c8a18f92474acf0e43ad48648f552a5ebbe626d8825fbaa44
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