Instructions to use marielalvs/hatespeech-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marielalvs/hatespeech-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marielalvs/hatespeech-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marielalvs/hatespeech-bert") model = AutoModelForSequenceClassification.from_pretrained("marielalvs/hatespeech-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80ce3731b261266a7a734e797d56d9d8ba1da2ecab8e03eb6aae34acfe6f6432
- Size of remote file:
- 438 MB
- SHA256:
- 3169e90b5639482a346187f937060f46b97e8568a074759949f26d5764abcfff
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