Instructions to use vocab-transformers/distilbert-mlm-best with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vocab-transformers/distilbert-mlm-best with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vocab-transformers/distilbert-mlm-best")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vocab-transformers/distilbert-mlm-best") model = AutoModelForMaskedLM.from_pretrained("vocab-transformers/distilbert-mlm-best") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
distilbert-base-uncased trained for 680K steps (lowest loss on dev dataset) with batch size 64 on C4, MSMARCO, Wikipedia, S2ORC, News
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