Instructions to use zeroshot/gte-tiny-quant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zeroshot/gte-tiny-quant with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="zeroshot/gte-tiny-quant")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("zeroshot/gte-tiny-quant") model = AutoModel.from_pretrained("zeroshot/gte-tiny-quant") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f8755907c691fbf6746e7ddc41410de28bf92006d984f9ad7c42966bf17676c
- Size of remote file:
- 58.6 MB
- SHA256:
- 902f0a8b11a4f1ff2041ceeb9e52280a35ac4d48339631210c505b9678badb3a
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