Instructions to use jerteh/Jerteh-81 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jerteh/Jerteh-81 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jerteh/Jerteh-81")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("jerteh/Jerteh-81") model = AutoModelForMaskedLM.from_pretrained("jerteh/Jerteh-81") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1fd295fdf38b97d805617497c58746cd29d3d596dbff5de8d0fcf457d82d2b2
- Size of remote file:
- 325 MB
- SHA256:
- 69a108bc46c60f929b3bcb4517778a802bb0091007b21e6bb2f001916dbea2db
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