Instructions to use sebastian-hofstaetter/distilbert-cat-margin_mse-T2-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sebastian-hofstaetter/distilbert-cat-margin_mse-T2-msmarco with Transformers:
# Load model directly from transformers import BERT_Cat model = BERT_Cat.from_pretrained("sebastian-hofstaetter/distilbert-cat-margin_mse-T2-msmarco", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 144 Bytes
5ddf7ff | 1 2 3 4 5 6 7 8 9 | {
"architectures": [
"BERT_Cat"
],
"bert_model": "distilbert-base-uncased",
"model_type": "BERT_Cat",
"trainable": true
}
|