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:
# pip install -U transformers accelerate # 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
Upload generation_config.json
Browse files- generation_config.json +5 -1
generation_config.json
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{
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"early_stopping": true,
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"max_length": 376,
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"num_beams": 6,
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"transformers_version": "4.
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}
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{
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"early_stopping": true,
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"eos_token_id": 2,
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"decoder_start_token_id": 0,
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"eos_token_id": 2,
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"pad_token_id": 0,
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"max_length": 376,
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"num_beams": 6,
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"transformers_version": "4.35.0"
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}
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