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
File size: 121 Bytes
b628160 | 1 2 3 4 5 | eval_loss = 0.21860834862465509 f1_score = 0.5958587375924126 precision = 0.6894083969465649 recall = 0.5246641423310338 |