Instructions to use text2font/mt5_edited_text2font with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use text2font/mt5_edited_text2font with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("text2font/mt5_edited_text2font") model = AutoModelForSeq2SeqLM.from_pretrained("text2font/mt5_edited_text2font", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61c749bdf813478eb195d8b09e827b2082b7c0f9adc273525a5f5df32694da00
- Size of remote file:
- 22.1 MB
- SHA256:
- 1aca74a8e8aeb4c78092b740eeb6c09efe7b143e9bb7f7fbebe9bf61d62f7874
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