Feature Extraction
Transformers
ONNX
Safetensors
English
new
embedding
search
e-commerce
conversational-search
semantic-search
custom_code
text-embeddings-inference
Instructions to use uzoochogu/SearchMap_Preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uzoochogu/SearchMap_Preview with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="uzoochogu/SearchMap_Preview", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("uzoochogu/SearchMap_Preview", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdc2af7b7f516e993057f791a41f482cdff7d7bdc9b556c29fd23323a63417dd
- Size of remote file:
- 5.37 kB
- SHA256:
- bf6dc6f6907e1bb40bdb9ff805ca9a9cf1de5595be9eb21c74a96468b6c5ff71
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