Feature Extraction
Transformers
Safetensors
English
qwen3_vl
video-retrieval
multi-vector
late-interaction
colbert
index-compression
attention-guided-clustering
text-to-video
Instructions to use hltcoe/AGC_qwen3-vl_msrvtt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hltcoe/AGC_qwen3-vl_msrvtt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hltcoe/AGC_qwen3-vl_msrvtt")# Load model directly from transformers import AutoProcessor, Qwen3ForEmbedding processor = AutoProcessor.from_pretrained("hltcoe/AGC_qwen3-vl_msrvtt") model = Qwen3ForEmbedding.from_pretrained("hltcoe/AGC_qwen3-vl_msrvtt") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
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