Instructions to use mecoaoge2/hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mecoaoge2/hi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mecoaoge2/hi")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mecoaoge2/hi") model = AutoModelForMaskedLM.from_pretrained("mecoaoge2/hi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e05afcffcc0d59a2c383ea2ce77792c261fa1efebe94fb5d6c065a6715c67d20
- Size of remote file:
- 107 MB
- SHA256:
- 89f8ee2d2415df402c25382adc4daec68815ec2b500a9d014ac4de2f8ff68c84
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