How to use rxdtech/potion-code-16M-v2-onnx with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("rxdtech/potion-code-16M-v2-onnx")
How to use rxdtech/potion-code-16M-v2-onnx with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("rxdtech/potion-code-16M-v2-onnx") 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]
https://huggingface.co/rxdtech/potion-code-16M-v2-onnx/resolve/main/tokenizer.json
hf download hf://rxdtech/potion-code-16M-v2-onnx/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/rxdtech/potion-code-16M-v2-onnx/resolve/main/tokenizer.json
