Instructions to use relik-ie/encoder-e5-base-v2-wikipedia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use relik-ie/encoder-e5-base-v2-wikipedia with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="relik-ie/encoder-e5-base-v2-wikipedia", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("relik-ie/encoder-e5-base-v2-wikipedia", trust_remote_code=True) model = AutoModel.from_pretrained("relik-ie/encoder-e5-base-v2-wikipedia", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from relik-ie/encoder-e5-base-v2-wikipedia: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/relik-ie/encoder-e5-base-v2-wikipedia/resolve/main/tokenizer.json
- Command line
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hf download hf://relik-ie/encoder-e5-base-v2-wikipedia/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/relik-ie/encoder-e5-base-v2-wikipedia/resolve/main/tokenizer.json
711 kB
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