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:
- 3463bd3d3d59110acd54ce5554002adba155887665090f2c819e79ebfca0112b
- Size of remote file:
- 2.22 kB
- SHA256:
- 6ae4c62cb077d22e67c577beb424a6fe260132c918abdd8bc0f4699c5b8178eb
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