- Libraries
- Transformers
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") # pip install -U transformers accelerate
# 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") - setfit
How to use nickprock/setfit-italian-hate-speech with setfit:
from setfit import SetFitModel
model = SetFitModel.from_pretrained("nickprock/setfit-italian-hate-speech")
preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"])
print(preds) - sentence-transformers
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] - Notebooks
- Google Colab
- Kaggle
