Instructions to use ayoolaolafenwa/Masked-Language-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayoolaolafenwa/Masked-Language-Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ayoolaolafenwa/Masked-Language-Model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ayoolaolafenwa/Masked-Language-Model") model = AutoModelForMaskedLM.from_pretrained("ayoolaolafenwa/Masked-Language-Model") - Notebooks
- Google Colab
- Kaggle
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README.md
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This is a masked language model that was trained on IMDB dataset using a finetuned DistilBERT model.
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# Rest API Code for Testing the Masked Language Model
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This is a masked language model that was trained on IMDB dataset using a finetuned DistilBERT model.
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### Note:
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I published a tutorial explaining how transformers work and how to train a masked language model using transformer. https://olafenwaayoola.medium.com/the-concept-of-transformers-and-training-a-transformers-model-45a09ae7fb50
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# Rest API Code for Testing the Masked Language Model
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