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:
- 29750dee064549b6e9b8ec76f68636ea29fbe3d636146dec8937e4397507f853
- Size of remote file:
- 439 MB
- SHA256:
- 30a44d209dbb08480f7e3302c3006ea22d4f0b992d71d7fec407229d4f479777
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