Feature Extraction
Transformers
ONNX
English
bert
sparse sparsity quantized onnx embeddings int8
mteb
Eval Results (legacy)
Instructions to use zeroshot/gte-large-sparse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zeroshot/gte-large-sparse with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="zeroshot/gte-large-sparse")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("zeroshot/gte-large-sparse") model = AutoModel.from_pretrained("zeroshot/gte-large-sparse") - Notebooks
- Google Colab
- Kaggle
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