Instructions to use Helsinki-NLP/opus-mt-iir-iir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-iir-iir 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-iir-iir")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-iir-iir") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-iir-iir", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 601a71929c67df0d1e0a31ee3103c3312175fe324100b87881ccae76118a5e72
- Size of remote file:
- 247 MB
- SHA256:
- 0bdca63843befe4e9d42a4931fd791a2aa13e7c7165e07466790a7d2f921a3b1
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