Instructions to use Hate-speech-CNERG/bert-base-uncased-hatexplain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hate-speech-CNERG/bert-base-uncased-hatexplain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hate-speech-CNERG/bert-base-uncased-hatexplain")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hate-speech-CNERG/bert-base-uncased-hatexplain") model = AutoModelForSequenceClassification.from_pretrained("Hate-speech-CNERG/bert-base-uncased-hatexplain", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d068e5565048e6236daa499542e719d961883dbd3218066ee7a55b5d90954cfb
- Size of remote file:
- 438 MB
- SHA256:
- 7939d499f5c2ec887db9c09d9e790f33321686a4993c6b3da7d89db059a7452e
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