Instructions to use monobyte/byt5-mono-ja-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use monobyte/byt5-mono-ja-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("monobyte/byt5-mono-ja-v1") model = AutoModelForSeq2SeqLM.from_pretrained("monobyte/byt5-mono-ja-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f673a406e4a0dff1ca6f5efd54950e1d61fe33918e319a56c27a071ace5f83a
- Size of remote file:
- 1.2 GB
- SHA256:
- f63c758f591eb6a81c9422c8f8f0b2ae982872ff4c8437ddf45884c60545a4d8
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