Instructions to use SotirisLegkas/multi_hate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SotirisLegkas/multi_hate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SotirisLegkas/multi_hate")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SotirisLegkas/multi_hate") model = AutoModelForSequenceClassification.from_pretrained("SotirisLegkas/multi_hate") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a36839c61b0fa869affb1b0e51b56873a46eca1efd6d66afd0ebc43bb43fb608
- Size of remote file:
- 3.58 kB
- SHA256:
- ba5a58cd4ab6b1a38d728db65292486cdaf0f383f06a0c67f6c7a770769ba197
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