Instructions to use GPL/scifact-tsdae-msmarco-distilbert-margin-mse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GPL/scifact-tsdae-msmarco-distilbert-margin-mse with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="GPL/scifact-tsdae-msmarco-distilbert-margin-mse")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("GPL/scifact-tsdae-msmarco-distilbert-margin-mse") model = AutoModel.from_pretrained("GPL/scifact-tsdae-msmarco-distilbert-margin-mse") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcc6b6e5ca61d97c557d63d7f69827cf609b8b1c6d7c119165a0c23ab45579b6
- Size of remote file:
- 265 MB
- SHA256:
- 0a1be8988781c49706c1b7847f25080f1beb505b79eb41f6adb448129279ba0b
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