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") embeddings = model.encode(["It's dangerous to go alone!", "It's a secret to everybody."]) print(embeddings.shape) - 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
Download tokenizer.json from ashercn97/code-y-static-v1: direct link, hf CLI and curl.
- Browser
- Download file 1.49 MB
-
https://huggingface.co/ashercn97/code-y-static-v1/resolve/main/tokenizer.json
- Command line
-
hf download hf://ashercn97/code-y-static-v1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/ashercn97/code-y-static-v1/resolve/main/tokenizer.json
1.49 MB
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