Sentence Similarity
sentence-transformers
Safetensors
English
ultrabert
feature-extraction
mteb
long-context
custom_code
Eval Results (legacy)
Instructions to use dmis-lab/UltraBERT-Embed-150M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dmis-lab/UltraBERT-Embed-150M with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dmis-lab/UltraBERT-Embed-150M", trust_remote_code=True) 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] - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from dmis-lab/UltraBERT-Embed-150M: direct link, hf CLI and curl.
- Browser
- Download file 844 Bytes
-
https://huggingface.co/dmis-lab/UltraBERT-Embed-150M/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://dmis-lab/UltraBERT-Embed-150M/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/dmis-lab/UltraBERT-Embed-150M/resolve/main/tokenizer_config.json
844 Bytes
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": "<|endoftext|>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|endoftext|>", | |
| "errors": "replace", | |
| "extra_special_tokens": [ | |
| "<|endoftext|>", | |
| "<|im_start|>", | |
| "<|im_end|>", | |
| "<repo_name>", | |
| "<reponame>", | |
| "<file_sep>", | |
| "<filename>", | |
| "<gh_stars>", | |
| "<issue_start>", | |
| "<issue_comment>", | |
| "<issue_closed>", | |
| "<jupyter_start>", | |
| "<jupyter_text>", | |
| "<jupyter_code>", | |
| "<jupyter_output>", | |
| "<|sep|>", | |
| "<|mask|>" | |
| ], | |
| "is_local": true, | |
| "local_files_only": false, | |
| "mask_token": "<|mask|>", | |
| "model_max_length": 32768, | |
| "pad_token": "<|endoftext|>", | |
| "sep_token": "<|sep|>", | |
| "tokenizer_class": "GPT2Tokenizer", | |
| "truncation_side": "right", | |
| "unk_token": "<|endoftext|>", | |
| "vocab_size": 49152 | |
| } | |