Sentence Similarity
sentence-transformers
PyTorch
Safetensors
jp
luke
linktransformer
tabular-classification
Instructions to use dell-research-harvard/linktransformer-models-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dell-research-harvard/linktransformer-models-test with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dell-research-harvard/linktransformer-models-test") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Updated model with better training and evaluation. Test and val data included as pickle files. Older Legacy files were removed to avoid confusion.
2de46f4 Download test_data.pickle from dell-research-harvard/linktransformer-models-test: direct link, hf CLI and curl.
- Browser
- Download file 124 kB
-
https://huggingface.co/dell-research-harvard/linktransformer-models-test/resolve/main/test_data.pickle
- Command line
-
hf download hf://dell-research-harvard/linktransformer-models-test/test_data.pickle
-
curl -L -o test_data.pickle https://huggingface.co/dell-research-harvard/linktransformer-models-test/resolve/main/test_data.pickle
124 kB
- Xet hash:
- a1ec8c59091295899b60f1fa20eac04288e5ebfcb24fa101df1d11ab0cfeb784
- Size of remote file:
- 124 kB
- SHA256:
- 5d6b291c46b322d7c02d92a327989614703e806b645f105d00f6a979b13f73bc
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