Instructions to use ashercn97/code-y-static-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use ashercn97/code-y-static-v1 with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("ashercn97/code-y-static-v1") - sentence-transformers
How to use ashercn97/code-y-static-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ashercn97/code-y-static-v1") 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:
- 300a0466b249a7330dc5e165032b186ab94cd9b74beec6c8a2e774192b0e8283
- Size of remote file:
- 129 MB
- SHA256:
- bb9fda817da07d394bd2877736887f28fd69ac53767ef26e0be7f29857f7827a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.