Instructions to use SotirisLegkas/binary_hate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SotirisLegkas/binary_hate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SotirisLegkas/binary_hate")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SotirisLegkas/binary_hate") model = AutoModelForSequenceClassification.from_pretrained("SotirisLegkas/binary_hate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SotirisLegkas/binary_hate: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/SotirisLegkas/binary_hate/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SotirisLegkas/binary_hate/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SotirisLegkas/binary_hate/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 538341bdcf8180e56afbc52407211ed3fe88f5b2e149f0e723577efc642047f8
- Size of remote file:
- 499 MB
- SHA256:
- 74d46fb0929816ab2ec4f2eb7e791d9d687857cf00a8c2998720d15199926037
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