Feature Extraction
Transformers
Safetensors
English
new
embedding
search
e-commerce
conversational-search
semantic-search
custom_code
text-embeddings-inference
Instructions to use VPLabs/SearchMap_Preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VPLabs/SearchMap_Preview with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="VPLabs/SearchMap_Preview", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("VPLabs/SearchMap_Preview", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70bba9dea420691a6eede83b3a3280abb1b6e08d1639fa5904c9f770bb8bff74
- Size of remote file:
- 1.06 kB
- SHA256:
- bc6bb7338913f85132da38386e3d9f2f930e2214b7d7fcd19f1e738d782e888c
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