Instructions to use SRDdev/HingMaskedLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SRDdev/HingMaskedLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SRDdev/HingMaskedLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SRDdev/HingMaskedLM") model = AutoModelForMaskedLM.from_pretrained("SRDdev/HingMaskedLM") - Notebooks
- Google Colab
- Kaggle
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example_title: "Example 1"
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- text: "New York me <mask> kesa he ?"
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example_title: "Example 2"
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example_title: "Example 1"
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- text: "Thoda <mask> bajao"
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example_title: "Example 2"
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