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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8932c36623e059a09879b0053f9c49a134819a7ec7b96ce09798b6fb4c44385
- Size of remote file:
- 1.74 GB
- SHA256:
- 78f8474dad9b263d78420f3e1cc540d6160c32539f946feefe90727806fbf934
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