Instructions to use peteryushunli/Fill_Mask_Tutorial_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peteryushunli/Fill_Mask_Tutorial_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="peteryushunli/Fill_Mask_Tutorial_Model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("peteryushunli/Fill_Mask_Tutorial_Model") model = AutoModelForMaskedLM.from_pretrained("peteryushunli/Fill_Mask_Tutorial_Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 664e8a55105c9fe5c86241d0164bb3a7477bebcf7876e73d73a77da40529831c
- Size of remote file:
- 443 MB
- SHA256:
- 63d9433495c988def20a79ead24e46312d410ca634638a40bea2b7db89579fbc
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