Instructions to use Turbo-AI/multilingual-e5-base__trim_vocab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Turbo-AI/multilingual-e5-base__trim_vocab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Turbo-AI/multilingual-e5-base__trim_vocab")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Turbo-AI/multilingual-e5-base__trim_vocab") model = AutoModel.from_pretrained("Turbo-AI/multilingual-e5-base__trim_vocab", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Turbo-AI/multilingual-e5-base__trim_vocab: direct link, hf CLI and curl.
- Browser
- Download file 1.35 MB
-
https://huggingface.co/Turbo-AI/multilingual-e5-base__trim_vocab/resolve/main/tokenizer.json
- Command line
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hf download hf://Turbo-AI/multilingual-e5-base__trim_vocab/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Turbo-AI/multilingual-e5-base__trim_vocab/resolve/main/tokenizer.json
1.35 MB
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