Instructions to use yseop/text_smoothing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yseop/text_smoothing with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yseop/text_smoothing") model = AutoModelForSeq2SeqLM.from_pretrained("yseop/text_smoothing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f2b20c29af28d4c35a5c0ff8051379f9e181e8566a8d9ec51efb22e7243a6a7
- Size of remote file:
- 892 MB
- SHA256:
- df69ef9f3d1e553e19705c908947ea607334c0bf1942187b2c194597cf0e5419
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