Instructions to use Helsinki-NLP/opus-mt-pl-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-pl-eo 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-pl-eo")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-pl-eo") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-pl-eo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8409a3530bb46a7c7970ae82dca15f75317d2d9e5fb3cdbae111170a7e26fb60
- Size of remote file:
- 194 MB
- SHA256:
- fbfdfd1119cb99748f5dcbbb42ee438942249bcf495ecd50c1b4c5ad8af430c3
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