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
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:82b7b64ab98f6eb3ef18a43c6b171bf0c4bf89bdaa53454a21adffa3572a5018
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size 435592960
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