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:
- f1143ac2fe607c575d7e319d411402d77091deeb91e55720bace65a829b74432
- Size of remote file:
- 2.24 GB
- SHA256:
- 596c7ad0f5cb68ef26acab5926698307e4f27a3cd500508601fa620fe03ecdce
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