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
- Xet hash:
- 4a1e33be9b8901b0e70edde050e343c15d2e70895572f86533f9a77694637f1f
- Size of remote file:
- 1.2 GB
- SHA256:
- 9700fa2a494b15fe4cf1eceb2fcf210a883f1d4b74755c1aa7a1a83a48bd2b55
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