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
| { | |
| "_from_model_config": true, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 1, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.27.1" | |
| } | |