Instructions to use rithwik-db/bert-base-cased-50-MLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rithwik-db/bert-base-cased-50-MLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="rithwik-db/bert-base-cased-50-MLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("rithwik-db/bert-base-cased-50-MLM") model = AutoModelForMaskedLM.from_pretrained("rithwik-db/bert-base-cased-50-MLM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27d33a1a059205753ce89482cdc9ab04955da8a471f342f2e9fa329e7eacd0db
- Size of remote file:
- 3.64 kB
- SHA256:
- e1e521b80e26528062fcf0ca75c10bb7cf85c5a60dcd726a98f7d2af694bedb8
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