Translation
Transformers
Safetensors
Polish
English
t5
text2text-generation
polish
english
byt5
tokenizer-free
nlp
gradio
text-generation-inference
Instructions to use Gregniuki/pl-en-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gregniuki/pl-en-pl 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="Gregniuki/pl-en-pl")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Gregniuki/pl-en-pl") model = AutoModelForSeq2SeqLM.from_pretrained("Gregniuki/pl-en-pl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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This model is a fine-tuned version of [Gregniuki/pl-en-pl](https://huggingface.co/Gregniuki/pl-en-pl) on an unknown dataset.
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It achieves the following results on the evaluation set:
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# byt5-finetuned-final5
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This model is a fine-tuned version of [Gregniuki/pl-en-pl](https://huggingface.co/Gregniuki/pl-en-pl) on an unknown dataset.
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It achieves the following results on the evaluation set:
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