Instructions to use TransQuest/siamesetransquest-da-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TransQuest/siamesetransquest-da-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="TransQuest/siamesetransquest-da-multilingual")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("TransQuest/siamesetransquest-da-multilingual") model = AutoModel.from_pretrained("TransQuest/siamesetransquest-da-multilingual") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a02396814f34c1027346873361ba192ed0503ba4dba24d763f5e4b5cfae02196
- Size of remote file:
- 2.24 GB
- SHA256:
- 87ec00dd14311bbf9fb44053d7877d2aed115f3e89d9757d4adf24bf491dd37a
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