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:
- 59e11394f8bd23fee9afa6be9f70390f7f65b02a80c9fc1c8740ff3e0944c6a1
- Size of remote file:
- 4.48 GB
- SHA256:
- 5d15615f89f9616990c380a0d30ad8b3466abeda4f322dc8f25f844fac25a783
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