Instructions to use wonik-hi/hate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wonik-hi/hate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wonik-hi/hate")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wonik-hi/hate") model = AutoModelForSequenceClassification.from_pretrained("wonik-hi/hate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from wonik-hi/hate: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/wonik-hi/hate/resolve/main/training_args.bin
- Command line
-
hf download hf://wonik-hi/hate/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/wonik-hi/hate/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 387fa27795e366bc173af018716416890dbd89821853b796bab599993bdb8ac7
- Size of remote file:
- 5.3 kB
- SHA256:
- fca2f4016121115c4ef1605cbeaf9ad79e74f9b435930c27d9058a023e135211
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