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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a92977b7ace976465f62184b217ed255dcf7bf3491fb9cf7c0ac3fe238bc6c7f
- Size of remote file:
- 438 MB
- SHA256:
- d6a804c4f4a2397973becf20349d4e3bda506099937f25019f954b8e76bdbe94
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