Instructions to use TransQuest/monotransquest-da-en_zh-wiki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TransQuest/monotransquest-da-en_zh-wiki with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TransQuest/monotransquest-da-en_zh-wiki")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TransQuest/monotransquest-da-en_zh-wiki") model = AutoModelForSequenceClassification.from_pretrained("TransQuest/monotransquest-da-en_zh-wiki") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 469899754e0d96cb7e30c07d75ff80d856d23b8bb0e1643d4f80821eb973bb81
- Size of remote file:
- 623 Bytes
- SHA256:
- 4e519cdc94f696959ee695c918530084f975e59d0cdf17165c201a32ea3d9ec1
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