How to use tomaarsen/tomoro-colqwen3-embed-8b-st with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tomaarsen/tomoro-colqwen3-embed-8b-st", trust_remote_code=True, device_map="auto")
How to use tomaarsen/tomoro-colqwen3-embed-8b-st with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tomaarsen/tomoro-colqwen3-embed-8b-st", trust_remote_code=True) 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]
How to use tomaarsen/tomoro-colqwen3-embed-8b-st with ColPali:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
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