Transformers
PyTorch
JAX
Kabardian
Russian
multilingual
t5
text2text-generation
circassian
kabardian
text-generation-inference
Instructions to use anzorq/kbd_lat-835k_ru-3M_t5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anzorq/kbd_lat-835k_ru-3M_t5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("anzorq/kbd_lat-835k_ru-3M_t5-small") model = AutoModelForSeq2SeqLM.from_pretrained("anzorq/kbd_lat-835k_ru-3M_t5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add multilingual to the language tag (#1)
Browse files- Add multilingual to the language tag (fc8b6a086b8970c3706bcc26a7c5eee54c32d811)
Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>
README.md
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language:
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tags:
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- circassian
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- kabardian
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license: unknown
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datasets:
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- anzorq/kbd_lat-835k_ru-3M
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t5-v1_1-small pretrained with mlm task on
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tokenizer: sentencepiece unigram, 8K, shared vocabulary
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language:
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- kbd
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- ru
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- multilingual
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license: unknown
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tags:
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- circassian
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- kabardian
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datasets:
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- anzorq/kbd_lat-835k_ru-3M
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t5-v1_1-small pretrained with mlm task on
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� kbd (custom latin script) 835K lines: a pile of scraped text from news sites, books etc.
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� ru 3M lines: wiki corpus from OPUS
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tokenizer: sentencepiece unigram, 8K, shared vocabulary
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