Instructions to use adeliaKH/breeding_type_classificator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use adeliaKH/breeding_type_classificator with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("adeliaKH/breeding_type_classificator") embeddings = model.encode(["It's dangerous to go alone!", "It's a secret to everybody."]) print(embeddings.shape) - sentence-transformers
How to use adeliaKH/breeding_type_classificator with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("adeliaKH/breeding_type_classificator") 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
Download classes.json from adeliaKH/breeding_type_classificator: direct link, hf CLI and curl.
- Browser
- Download file 40 Bytes
-
https://huggingface.co/adeliaKH/breeding_type_classificator/resolve/main/classes.json
- Command line
-
hf download hf://adeliaKH/breeding_type_classificator/classes.json
-
curl -L -o classes.json https://huggingface.co/adeliaKH/breeding_type_classificator/resolve/main/classes.json
40 Bytes
| ["barn", "free_range", "furnished_cage"] |