Feature Extraction
sentence-transformers
Safetensors
Transformers
qwen2_5_omni_thinker
image-text-to-text
multimodal-embedding
Instructions to use LCO-Embedding/LCO-Embedding-Omni-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use LCO-Embedding/LCO-Embedding-Omni-7B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LCO-Embedding/LCO-Embedding-Omni-7B") 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 LCO-Embedding/LCO-Embedding-Omni-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="LCO-Embedding/LCO-Embedding-Omni-7B")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("LCO-Embedding/LCO-Embedding-Omni-7B") model = AutoModelForImageTextToText.from_pretrained("LCO-Embedding/LCO-Embedding-Omni-7B") - Notebooks
- Google Colab
- Kaggle
File size: 832 Bytes
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"<|im_start|>",
"<|im_end|>",
"<|AUDIO|>",
"<|audio_bos|>",
"<|audio_eos|>",
"<|box_end|>",
"<|quad_start|>",
"<|quad_end|>",
"<|vision_bos|>",
"<|vision_eos|>",
"<|vision_pad|>",
"<|IMAGE|>",
"<|VIDEO|>"
],
"eos_token": {
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"single_word": false
},
"pad_token": {
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},
"image_token": "<|IMAGE|>",
"audio_token": "<|AUDIO|>",
"video_token": "<|VIDEO|>",
"vision_bos_token": "<|vision_bos|>",
"vision_eos_token": "<|vision_eos|>",
"audio_bos_token": "<|audio_bos|>",
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} |