Instructions to use Helsinki-NLP/opus-mt-bg-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-bg-sv 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-sv")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-bg-sv") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-bg-sv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7201cea81d393d2673c6233456063678c274de7f4e85912f4dc4c381d1e7faa5
- Size of remote file:
- 300 MB
- SHA256:
- ad8ed047782048dbd846a710abe04d8e54ea580624160bf4fb70447d7ee798f8
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