Transformers
PyTorch
Ukrainian
English
multilingual
t5
text2text-generation
ukrainian
english
text-generation-inference
Instructions to use uaritm/ukrt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uaritm/ukrt5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uaritm/ukrt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("uaritm/ukrt5-base") - Notebooks
- Google Colab
- Kaggle
Upload config.json
Browse files- config.json +2 -2
config.json
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"tie_word_embeddings": false,
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"tokenizer_class": "T5Tokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.
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"use_cache": true,
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"vocab_size":
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}
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"tie_word_embeddings": false,
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"tokenizer_class": "T5Tokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.21.0",
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"use_cache": true,
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"vocab_size": 35000
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}
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