Instructions to use TransQuest/siamesetransquest-da-en_de-wiki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TransQuest/siamesetransquest-da-en_de-wiki with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="TransQuest/siamesetransquest-da-en_de-wiki")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("TransQuest/siamesetransquest-da-en_de-wiki") model = AutoModel.from_pretrained("TransQuest/siamesetransquest-da-en_de-wiki") - Notebooks
- Google Colab
- Kaggle
File size: 272 Bytes
f45f67e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | [
{
"idx": 0,
"name": "0",
"path": "0_Transformer",
"type": "transquest.algo.siamese_transformers.models.Transformer"
},
{
"idx": 1,
"name": "1",
"path": "1_Pooling",
"type": "transquest.algo.siamese_transformers.models.Pooling"
}
] |