Instructions to use Helsinki-NLP/opus-mt-trk-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-trk-en 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-trk-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-trk-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-trk-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 025446fe1fac935540c5372b166f50f36455fcccda05f49dd279573bb7308c9e
- Size of remote file:
- 305 MB
- SHA256:
- 28292d5f9bbb61d2eb87cae3d82fa13208a90af4dec3990fd86be9fa0c1f7bee
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