Instructions to use TransQuest/monotransquest-da-en_any with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TransQuest/monotransquest-da-en_any with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TransQuest/monotransquest-da-en_any")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TransQuest/monotransquest-da-en_any") model = AutoModelForSequenceClassification.from_pretrained("TransQuest/monotransquest-da-en_any", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1337f1a9583ca05509ab8a4375c4bcb5bc128a0d7da917cdc5f2002d9f2f5bd
- Size of remote file:
- 2.24 GB
- SHA256:
- 2de5008f3504eb578fc259063686d92f37a86738b923ef87a5e3dd1bd0d9c403
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