Instructions to use Helsinki-NLP/opus-mt-bg-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-bg-it 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-it")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-bg-it") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-bg-it") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed4ae7666ebdff21fd5cfe1cbb5344a169dfc09ed57ceae514d59e7786e37733
- Size of remote file:
- 305 MB
- SHA256:
- 9375d488db28ba3347192098b6957b48025e3f5592f28e2c0862778d2527d2c9
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