How to use nickprock/setfit-italian-hate-speech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nickprock/setfit-italian-hate-speech")
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nickprock/setfit-italian-hate-speech") model = AutoModel.from_pretrained("nickprock/setfit-italian-hate-speech", device_map="auto")
How to use nickprock/setfit-italian-hate-speech with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("nickprock/setfit-italian-hate-speech")
How to use nickprock/setfit-italian-hate-speech with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nickprock/setfit-italian-hate-speech") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]
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