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:
- 8aee46ea469934e9afcd5b9bb5b723d18320e9cbb3a4662301f75ce31f7fd4ec
- Size of remote file:
- 4.98 kB
- SHA256:
- 6f0bc5789ef1503a1610b33a5d7ec7b5b88df61ff186603e4842bf2aca1235e2
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