Instructions to use HongzheBi/MPNet-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HongzheBi/MPNet-finetune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="HongzheBi/MPNet-finetune")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("HongzheBi/MPNet-finetune") model = AutoModel.from_pretrained("HongzheBi/MPNet-finetune") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b6fe468ee44352e9fa9db796c6a71b41f58885072c230c8e7e71d3ec6ed3aa40
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size 437971872
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