Sentence Similarity
sentence-transformers
PyTorch
Transformers
bert
feature-extraction
text-embeddings-inference
Instructions to use crewdon/AICategoryMapping-multilingual-e5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use crewdon/AICategoryMapping-multilingual-e5-small with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("crewdon/AICategoryMapping-multilingual-e5-small") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use crewdon/AICategoryMapping-multilingual-e5-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("crewdon/AICategoryMapping-multilingual-e5-small") model = AutoModel.from_pretrained("crewdon/AICategoryMapping-multilingual-e5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from crewdon/AICategoryMapping-multilingual-e5-small: direct link, hf CLI and curl.
- Browser
- Download file 167 Bytes
-
https://huggingface.co/crewdon/AICategoryMapping-multilingual-e5-small/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://crewdon/AICategoryMapping-multilingual-e5-small/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/crewdon/AICategoryMapping-multilingual-e5-small/resolve/main/special_tokens_map.json
167 Bytes
| { | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": "<mask>", | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "unk_token": "<unk>" | |
| } | |