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:
- b0bff8c45df23a09f7062bf89669b003f5fe20a64aceb9def1f45b092d839d50
- Size of remote file:
- 4.47 GB
- SHA256:
- ced188c40eba8d5f8d522e6ee5252efdfc2a464282630406117769b5bc2ccb77
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