Instructions to use mrp/SCT_BERT_Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use mrp/SCT_BERT_Small with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mrp/SCT_BERT_Small") 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 mrp/SCT_BERT_Small with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mrp/SCT_BERT_Small", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
90142a9 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:473bc60cfe4c8001cecc467af50eee5de6699a0ebf4c315f49ddfe67b3e74d22
size 115085837
|