Instructions to use Helsinki-NLP/opus-mt-bg-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-bg-tr with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-bg-tr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-bg-tr") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-bg-tr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49096f0cebc4f5794a0a9235e3055747a7aaada5a184e60456e3e0752174537c
- Size of remote file:
- 308 MB
- SHA256:
- 70913a8e6ed9b53c38e0e9786e0298fb017e6f8bf1564e65cf81229e869173d0
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