Feature Extraction
Transformers
Safetensors
sentence-transformers
Chinese
English
qwen3_5
image-text-to-text
multimodal-embedding
text-embedding
image-embedding
video-embedding
mrl
custom_code
Instructions to use tencent/WeMM-Embedding-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tencent/WeMM-Embedding-4B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="tencent/WeMM-Embedding-4B", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("tencent/WeMM-Embedding-4B", trust_remote_code=True) model = AutoModelForMultimodalLM.from_pretrained("tencent/WeMM-Embedding-4B", trust_remote_code=True, device_map="auto") - sentence-transformers
How to use tencent/WeMM-Embedding-4B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tencent/WeMM-Embedding-4B", 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] - Notebooks
- Google Colab
- Kaggle
File size: 1,086 Bytes
6ec8714 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | {# Direct-tokenization template for vLLM 0.27 embedding requests.
Qwen's processor post-processor removes the role newline before images,
keeps it before text/video, and appends <embedding> without a preceding
newline. vLLM 0.27 adds each frame's vision boundaries itself, so video
uses a bare <video_pad> placeholder. #}
{%- for message in messages %}
{{- '<|im_start|>' + message.role }}
{%- if message.content is string %}
{{- '\n' + message.content }}
{%- else %}
{%- for item in message.content %}
{%- if item.type in ['image', 'image_url'] or 'image' in item or 'image_url' in item %}
{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
{%- elif item.type in ['video', 'video_url'] or 'video' in item or 'video_url' in item %}
{{- '\n<|video_pad|>' }}
{%- elif item.type == 'text' or 'text' in item %}
{{- ('\n' if loop.first else '') + item.text }}
{%- else %}
{{- raise_exception('Unsupported embedding content type') }}
{%- endif %}
{%- endfor %}
{%- endif %}
{{- '<|im_end|>' }}
{%- if not loop.last %}
{{- '\n' }}
{%- endif %}
{%- endfor %}
{{- '<embedding>' }}
|