Instructions to use miladfa7/sanayBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use miladfa7/sanayBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="miladfa7/sanayBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("miladfa7/sanayBERT") model = AutoModelForMaskedLM.from_pretrained("miladfa7/sanayBERT") - Notebooks
- Google Colab
- Kaggle
Update training_args.bin
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:048147f42616d58489ae5ab61c1d13e79bbb9ebe71e38262d9bd1297d04c9b21
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size 2076
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