Instructions to use zakariaelaoufi/bert-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zakariaelaoufi/bert-mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="zakariaelaoufi/bert-mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("zakariaelaoufi/bert-mlm") model = AutoModelForMaskedLM.from_pretrained("zakariaelaoufi/bert-mlm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22ac216b8edff31da585cbf6d1467f2f23b49580e7db2c03a14833ad2462d362
- Size of remote file:
- 16.8 MB
- SHA256:
- c0cb7277b7f6efc61e33bc5daf6f17142babb0bb68b2d5dd600c96471a90c62e
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