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
Download special_tokens_map.json from nmcsitian/bge-meteo-zh: direct link, hf CLI and curl.
- Browser
- Download file 732 Bytes
-
https://huggingface.co/nmcsitian/bge-meteo-zh/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://nmcsitian/bge-meteo-zh/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/nmcsitian/bge-meteo-zh/resolve/main/special_tokens_map.json
732 Bytes
| { | |
| "cls_token": { | |
| "content": "[CLS]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "mask_token": { | |
| "content": "[MASK]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "[PAD]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "sep_token": { | |
| "content": "[SEP]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "[UNK]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |