Instructions to use Helsinki-NLP/opus-mt-eo-sh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-eo-sh 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-eo-sh")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-eo-sh") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-eo-sh") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b338e77a3f554d186671949d47fff3c899b6111af2c8a5c7c001b52e9f0fdec
- Size of remote file:
- 194 MB
- SHA256:
- 4ecb40a05b8223d37a81250a657412bd6bb48541564002c2d9b1e993d38ec292
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