Instructions to use mrm8488/distilroberta-finetuned-tweets-hate-speech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/distilroberta-finetuned-tweets-hate-speech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrm8488/distilroberta-finetuned-tweets-hate-speech")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrm8488/distilroberta-finetuned-tweets-hate-speech") model = AutoModelForSequenceClassification.from_pretrained("mrm8488/distilroberta-finetuned-tweets-hate-speech", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b00297e7975b2bc465e01eb2117fade68c874585dbc50218d285db6edcb3916
- Size of remote file:
- 2.03 kB
- SHA256:
- 23f931e1afdb2229f7625a12fa18f2fe73cdd6a2a58a6b740f8dadda5ef22ec4
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