Sentence Similarity
sentence-transformers
PyTorch
Transformers
bert
feature-extraction
text-embeddings-inference
Instructions to use fogomg/BioBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use fogomg/BioBert with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("fogomg/BioBert") 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 fogomg/BioBert with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("fogomg/BioBert") model = AutoModel.from_pretrained("fogomg/BioBert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d49ae3c2fc9b6bd2671bdb0efab554075d535b81e0887ce1a4cb12b93d94fc58
- Size of remote file:
- 433 MB
- SHA256:
- a6fa8fa30da7a285b73d88a7d67c9d3b8b76a8d0445a80e36be7d23aebfb3bbc
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