Instructions to use SotirisLegkas/multilingual_hate_final_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SotirisLegkas/multilingual_hate_final_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SotirisLegkas/multilingual_hate_final_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SotirisLegkas/multilingual_hate_final_2") model = AutoModelForSequenceClassification.from_pretrained("SotirisLegkas/multilingual_hate_final_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6766310808056624749b3ba36e566428453dfa8f3f1c04c9e38aa037ef3ad3a
- Size of remote file:
- 16.3 MB
- SHA256:
- 961561a830eb22bf767ad46781e63c945fafb28a4814f2134d4fd37684af3fb9
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