Instructions to use menadsa/S-BioELECTRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use menadsa/S-BioELECTRA with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("menadsa/S-BioELECTRA") 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 menadsa/S-BioELECTRA with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("menadsa/S-BioELECTRA") model = AutoModel.from_pretrained("menadsa/S-BioELECTRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afe8eaf70decdc229a528d9cde833f95f22be7e630cafb55e2a7c2ab100517c7
- Size of remote file:
- 436 MB
- SHA256:
- f81939399d76cf96af9290e901dada628ea69da2e7cebd538fc472ee7ea4078b
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