Instructions to use Helsinki-NLP/opus-mt-en-lua with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-lua 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-en-lua")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-lua") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-lua") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ec71959a60bc1b249b977e2b48dfaec0a97e05f71dd3786445ceeb4113b5ba7
- Size of remote file:
- 301 MB
- SHA256:
- f95a926ce3123ef42fa142bbd37dba263ff0c0b0bee0a90f3dac93b4f754ca1e
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