Feature Extraction
Transformers
Safetensors
English
new
image-feature-extraction
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
File size: 349 Bytes
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{
"idx": 0,
"name": "0",
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"type": "sentence_transformers.models.Transformer"
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{
"idx": 1,
"name": "1",
"path": "1_Pooling",
"type": "sentence_transformers.models.Pooling"
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{
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"name": "2",
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"type": "sentence_transformers.models.Normalize"
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