Instructions to use kornwtp/ConGen-Multilingual-MiniLM-L12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use kornwtp/ConGen-Multilingual-MiniLM-L12 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("kornwtp/ConGen-Multilingual-MiniLM-L12") 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 kornwtp/ConGen-Multilingual-MiniLM-L12 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kornwtp/ConGen-Multilingual-MiniLM-L12") model = AutoModel.from_pretrained("kornwtp/ConGen-Multilingual-MiniLM-L12", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from kornwtp/ConGen-Multilingual-MiniLM-L12: direct link, hf CLI and curl.
- Browser
- Download file 543 Bytes
-
https://huggingface.co/kornwtp/ConGen-Multilingual-MiniLM-L12/resolve/main/tokenizer_config.json
- Command line
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hf download hf://kornwtp/ConGen-Multilingual-MiniLM-L12/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/kornwtp/ConGen-Multilingual-MiniLM-L12/resolve/main/tokenizer_config.json
543 Bytes
| {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "special_tokens_map_file": "/ist/users/wuttikornp/.cache/torch/sentence_transformers/microsoft_Multilingual-MiniLM-L12-H384/special_tokens_map.json", "name_or_path": "pretrianed_models/Multilingual-MiniLM-L12-H384", "sp_model_kwargs": {}, "tokenizer_class": "XLMRobertaTokenizer"} |