Instructions to use finiteautomata/bert-contextualized-hate-speech-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use finiteautomata/bert-contextualized-hate-speech-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="finiteautomata/bert-contextualized-hate-speech-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("finiteautomata/bert-contextualized-hate-speech-es") model = AutoModelForSequenceClassification.from_pretrained("finiteautomata/bert-contextualized-hate-speech-es") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 635bcd362c71f70e4614f65fed8bd3e6556bb34bc0fcb6f9abec38058375a853
- Size of remote file:
- 440 MB
- SHA256:
- 5e0a8c2b84cf114b4b931553a8840ebf229bc14fd906fd5c3ac4bc80f109402f
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