Instructions to use xpolak8/czech-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xpolak8/czech-t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("xpolak8/czech-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("xpolak8/czech-t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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language: cs
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license: apache-2.0
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library_name: transformers
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pipeline_tag: text2text-generation
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tags:
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- t5
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- czech
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# Czech T5 (base)
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T5 v1.1 pretrained from scratch on Czech web text
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language: cs
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license: apache-2.0
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library_name: transformers
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tags:
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- t5
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- czech
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# Czech T5 (base)
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T5 v1.1 pretrained from scratch on Czech web text with span-corruption, using [nanoT5](https://github.com/PiotrNawrot/nanoT5). This is a base (pretraining-only) checkpoint; fine-tune it for downstream tasks.
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