Sentence Similarity
sentence-transformers
Safetensors
Transformers
bidirlm_omni
mteb
embedding
bidirectional
custom_code
Instructions to use BidirLM/BidirLM-Omni-2.5B-Embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use BidirLM/BidirLM-Omni-2.5B-Embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("BidirLM/BidirLM-Omni-2.5B-Embedding", trust_remote_code=True) 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] - Transformers
How to use BidirLM/BidirLM-Omni-2.5B-Embedding with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BidirLM/BidirLM-Omni-2.5B-Embedding", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "</think>": 151668, | |
| "</tool_call>": 151658, | |
| "</tool_response>": 151666, | |
| "<asr_text>": 151704, | |
| "<blank10>": 151686, | |
| "<blank11>": 151687, | |
| "<blank12>": 151688, | |
| "<blank13>": 151689, | |
| "<blank14>": 151690, | |
| "<blank15>": 151691, | |
| "<blank16>": 151692, | |
| "<blank17>": 151693, | |
| "<blank18>": 151694, | |
| "<blank19>": 151695, | |
| "<blank1>": 151677, | |
| "<blank20>": 151696, | |
| "<blank21>": 151697, | |
| "<blank22>": 151698, | |
| "<blank23>": 151699, | |
| "<blank24>": 151700, | |
| "<blank25>": 151701, | |
| "<blank26>": 151702, | |
| "<blank27>": 151703, | |
| "<blank2>": 151678, | |
| "<blank3>": 151679, | |
| "<blank4>": 151680, | |
| "<blank5>": 151681, | |
| "<blank6>": 151682, | |
| "<blank7>": 151683, | |
| "<blank8>": 151684, | |
| "<blank9>": 151685, | |
| "<non_speech>": 151675, | |
| "<think>": 151667, | |
| "<tool_call>": 151657, | |
| "<tool_response>": 151665, | |
| "<tts_pad>": 151671, | |
| "<tts_text_bos>": 151672, | |
| "<tts_text_bos_single>": 151674, | |
| "<tts_text_eod>": 151673, | |
| "<|audio_end|>": 151670, | |
| "<|audio_pad|>": 151676, | |
| "<|audio_start|>": 151669, | |
| "<|box_end|>": 151649, | |
| "<|box_start|>": 151648, | |
| "<|endoftext|>": 151643, | |
| "<|file_sep|>": 151664, | |
| "<|fim_middle|>": 151660, | |
| "<|fim_pad|>": 151662, | |
| "<|fim_prefix|>": 151659, | |
| "<|fim_suffix|>": 151661, | |
| "<|im_end|>": 151645, | |
| "<|im_start|>": 151644, | |
| "<|image_pad|>": 151655, | |
| "<|object_ref_end|>": 151647, | |
| "<|object_ref_start|>": 151646, | |
| "<|quad_end|>": 151651, | |
| "<|quad_start|>": 151650, | |
| "<|repo_name|>": 151663, | |
| "<|video_pad|>": 151656, | |
| "<|vision_end|>": 151653, | |
| "<|vision_pad|>": 151654, | |
| "<|vision_start|>": 151652 | |
| } | |