Instructions to use Myashka/MPNet_RM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Myashka/MPNet_RM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Myashka/MPNet_RM")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Myashka/MPNet_RM") model = AutoModel.from_pretrained("Myashka/MPNet_RM") - Notebooks
- Google Colab
- Kaggle
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README.md
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license: mit
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license: mit
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MPNet model based on sentence-transformers/multi-qa-mpnet-base-cos-v1
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Trained on Myashka/SO_Python_basics_QA_human_pref using SO and Paraphrased data for retrivial tast via Triplet loss
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