Instructions to use jamiealexandre/mpnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jamiealexandre/mpnet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jamiealexandre/mpnet")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jamiealexandre/mpnet") model = AutoModel.from_pretrained("jamiealexandre/mpnet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from jamiealexandre/mpnet: direct link, hf CLI and curl.
- Browser
- Download file 40 Bytes
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https://huggingface.co/jamiealexandre/mpnet/resolve/main/README.md
- Command line
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hf download hf://jamiealexandre/mpnet/README.md
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curl -L -o README.md https://huggingface.co/jamiealexandre/mpnet/resolve/main/README.md
40 Bytes
| pipeline_tag: feature-extraction | |