Instructions to use texonom/multilingual-e5-small-4096 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use texonom/multilingual-e5-small-4096 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="texonom/multilingual-e5-small-4096", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("texonom/multilingual-e5-small-4096", trust_remote_code=True) model = AutoModel.from_pretrained("texonom/multilingual-e5-small-4096", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
ONNX version of https://huggingface.co/efederici/multilingual-e5-small-4096
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