Instructions to use pkshatech/GLuCoSE-base-ja with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use pkshatech/GLuCoSE-base-ja with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("pkshatech/GLuCoSE-base-ja") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Transformers
How to use pkshatech/GLuCoSE-base-ja with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("pkshatech/GLuCoSE-base-ja") model = AutoModel.from_pretrained("pkshatech/GLuCoSE-base-ja", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add Citation (#5)
Verified signature- Add Citation (18543c03bb46745f58b6b23400d00723d6c93ea7) Co-authored-by: MeguruTakasaki <meguruin@users.noreply.huggingface.co>af592a4
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Update base model name (#3)
Verified signature- Update base model name (d6fe7ea060383cff1770662d270959a77590e40e) Co-authored-by: MeguruTakasaki <meguruin@users.noreply.huggingface.co>0e8cbdf
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add base model information.
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Review from TAKASAKI
軽微な修正です。 - GLuCoSE: General Luke-based COntrastive Sentence Embedding としていますが、Luに合わせてCOのoを小文字にしたほうがいいと思ったのですが、いかがでしょうか。(もしくはLUとする)3dddb71
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