Instructions to use JohanHeinsen/PE_header_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use JohanHeinsen/PE_header_classifier with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("JohanHeinsen/PE_header_classifier") 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] - setfit
How to use JohanHeinsen/PE_header_classifier with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("JohanHeinsen/PE_header_classifier") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - Notebooks
- Google Colab
- Kaggle
File size: 199 Bytes
d7201ef | 1 2 3 4 5 6 7 8 9 10 | {
"__version__": {
"sentence_transformers": "4.1.0",
"transformers": "4.51.3",
"pytorch": "2.7.0"
},
"prompts": {},
"default_prompt_name": null,
"similarity_fn_name": "cosine"
} |