Image Feature Extraction
Transformers
Safetensors
vlm2emb
multimodal
embedding
retrieval
qwen3-vl
btoks
Instructions to use siyrus/Btoks-Qwen3VL-2B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use siyrus/Btoks-Qwen3VL-2B-Instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="siyrus/Btoks-Qwen3VL-2B-Instruct")# Load model directly from transformers import VLM2Emb model = VLM2Emb.from_pretrained("siyrus/Btoks-Qwen3VL-2B-Instruct", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 929d5a616bd7f0b05719aa80a7d8f0383a88c48382287a63158c16f98f38c372
- Size of remote file:
- 11.4 MB
- SHA256:
- ed5ff5749a50675ef011d06201701d0d3cdcfada624439d983c91a02008f2d6b
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