Instructions to use TransQuest/monotransquest-da-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TransQuest/monotransquest-da-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TransQuest/monotransquest-da-multilingual")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TransQuest/monotransquest-da-multilingual") model = AutoModelForSequenceClassification.from_pretrained("TransQuest/monotransquest-da-multilingual") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21971fc4a7c8b32ba1097da496cf9bb3b01aa1842a07033890d11e9b9e2034f0
- Size of remote file:
- 3.12 kB
- SHA256:
- 86512b4dbc50a4a80cec6795e02263c9ff7a2dd39efafd32d52e9d3e73a1629d
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