Transformers
PyTorch
Safetensors
Russian
t5
text2text-generation
PyTorch
Transformers
text-generation-inference
Instructions to use bond005/ruT5-ASR-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bond005/ruT5-ASR-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bond005/ruT5-ASR-large") model = AutoModelForSeq2SeqLM.from_pretrained("bond005/ruT5-ASR-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 541bc24ba47a3ad833740c0a89163c322de4221e212eac3e984c622c8dd6956f
- Size of remote file:
- 2.95 GB
- SHA256:
- 730f4ba442fb36f27ce9a31f78bd445634177a6fdb2127a22757f47d182fca07
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