Instructions to use modularStarEncoder/ModularStarEncoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use modularStarEncoder/ModularStarEncoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="modularStarEncoder/ModularStarEncoder", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("modularStarEncoder/ModularStarEncoder", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from modularStarEncoder/ModularStarEncoder: direct link, hf CLI and curl.
- Browser
- Download file 2.06 MB
-
https://huggingface.co/modularStarEncoder/ModularStarEncoder/resolve/1bdca4be715f926cbb36aba41c18a92f68de12df/tokenizer.json
- Command line
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hf download hf://modularStarEncoder/ModularStarEncoder@1bdca4be715f926cbb36aba41c18a92f68de12df/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/modularStarEncoder/ModularStarEncoder/resolve/1bdca4be715f926cbb36aba41c18a92f68de12df/tokenizer.json
2.06 MB
File too large to display, you can check the raw version instead.