Instructions to use sdadas/mt5-base-translator-pl-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sdadas/mt5-base-translator-pl-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="sdadas/mt5-base-translator-pl-en")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sdadas/mt5-base-translator-pl-en") model = AutoModelForSeq2SeqLM.from_pretrained("sdadas/mt5-base-translator-pl-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from sdadas/mt5-base-translator-pl-en: direct link, hf CLI and curl.
- Browser
- Download file 67 Bytes
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https://huggingface.co/sdadas/mt5-base-translator-pl-en/resolve/main/README.md
- Command line
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hf download hf://sdadas/mt5-base-translator-pl-en/README.md
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curl -L -o README.md https://huggingface.co/sdadas/mt5-base-translator-pl-en/resolve/main/README.md
67 Bytes
metadata
license: lgpl
language:
- pl
- en
pipeline_tag: translation