Instructions to use oussamaelmouekken/bert-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oussamaelmouekken/bert-mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="oussamaelmouekken/bert-mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("oussamaelmouekken/bert-mlm") model = AutoModelForMaskedLM.from_pretrained("oussamaelmouekken/bert-mlm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99e555615dcceab3094543cb176323b1140ea7a84a9266e9a7f9e51d59abdfbd
- Size of remote file:
- 5.2 kB
- SHA256:
- 968622fe22f525d782020602ee48b9af3107dd888224e8db8572e415b90d0ea9
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