Feature Extraction
sentence-transformers
Safetensors
Chinese
bert
meteorology
domain-adaptive
contrastive-learning
retrieval
embedding
text-embeddings-inference
Instructions to use nmcsitian/bge-meteo-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use nmcsitian/bge-meteo-zh with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nmcsitian/bge-meteo-zh") 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
Upload tokenizer.json with huggingface_hub
Browse files- tokenizer.json +0 -0
tokenizer.json
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