Instructions to use Helsinki-NLP/opus-mt-es-mk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-es-mk 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-es-mk")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-es-mk") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-es-mk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9f8200d233f315a14589a6c56b6ac38c4cd7f5b68587b4bfb3074e00069a285
- Size of remote file:
- 307 MB
- SHA256:
- 660146c400070dd27af0be3cfb042a50ae02140f4763e7f9d70345fd82bb15ad
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