Instructions to use rycerzes/nirjas-gate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use rycerzes/nirjas-gate with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("rycerzes/nirjas-gate") - sentence-transformers
How to use rycerzes/nirjas-gate with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("rycerzes/nirjas-gate") 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] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb1dad1ebe8cbeb50a9211e42447bc686b7094f4ccccb5c2040fa3cc1a94e895
- Size of remote file:
- 7.44 MB
- SHA256:
- aec5c46853045e7f86cf3289f6b76fda005ca91dcba9520f4806fae924c7825a
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