Sentence Similarity
sentence-transformers
PyTorch
TensorFlow
Transformers
roberta
feature-extraction
Instructions to use Jainam/freeflow-biencoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Jainam/freeflow-biencoder with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Jainam/freeflow-biencoder") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use Jainam/freeflow-biencoder with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Jainam/freeflow-biencoder") model = AutoModel.from_pretrained("Jainam/freeflow-biencoder") - Notebooks
- Google Colab
- Kaggle
Upload config_sentence_transformers.json
Browse files
config_sentence_transformers.json
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{
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"__version__": {
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"sentence_transformers": "2.0.0",
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"transformers": "4.7.0",
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"pytorch": "1.9.0+cu102"
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}
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}
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