Instructions to use TransQuest/microtransquest-de_en-pharmaceutical-smt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TransQuest/microtransquest-de_en-pharmaceutical-smt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="TransQuest/microtransquest-de_en-pharmaceutical-smt")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("TransQuest/microtransquest-de_en-pharmaceutical-smt") model = AutoModelForTokenClassification.from_pretrained("TransQuest/microtransquest-de_en-pharmaceutical-smt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b1ff0b2551e1f772a8bb22b31ff37548806fab0b1bdbd49a6ad420c5d8b1246
- Size of remote file:
- 3.12 kB
- SHA256:
- 8210f688eca59f0d45b0a9d2e7215f9a28fdc58484cb5a37eb1e6b46118c157d
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