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:
- 77341525f72f86300612278dff6906fb65bf015375e3b551f4c0de98eee478df
- Size of remote file:
- 623 Bytes
- SHA256:
- 50b353b1a3fa94f73246399abe11b397bf93563e7346ad743221157b1834a459
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