Feature Extraction
sentence-transformers
Safetensors
Transformers
mteb
modernbert
custom_code
Eval Results (legacy)
Instructions to use jxm/cde-small-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use jxm/cde-small-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jxm/cde-small-v2", 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] - Transformers
How to use jxm/cde-small-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jxm/cde-small-v2", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jxm/cde-small-v2", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Set base_model & tags metadata
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by tomaarsen HF Staff - opened
README.md
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- mteb
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- transformers
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- sentence-transformers
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model-index:
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- name: cde-small-v2
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results:
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### Training details
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All non-mentioned other hyperparameters (learning, etc.) are either in the config or CDE paper. If not,
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### Unsupervised training
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- mteb
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- transformers
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- sentence-transformers
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- modernbert
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base_model: answerdotai/ModernBERT-base
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model-index:
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- name: cde-small-v2
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results:
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### Training details
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All non-mentioned other hyperparameters (learning, etc.) are either in the config or CDE paper. If not, please raise an issue here: https://github.com/jxmorris12/cde
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### Unsupervised training
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