Instructions to use hmbyt5-preliminary/byt5-small-historic-multilingual-span20-flax with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hmbyt5-preliminary/byt5-small-historic-multilingual-span20-flax with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hmbyt5-preliminary/byt5-small-historic-multilingual-span20-flax") model = AutoModelForSeq2SeqLM.from_pretrained("hmbyt5-preliminary/byt5-small-historic-multilingual-span20-flax", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 142 Bytes
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"_from_model_config": true,
"decoder_start_token_id": 0,
"eos_token_id": 1,
"pad_token_id": 0,
"transformers_version": "4.27.1"
}
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