Instructions to use rithwik-db/bert-base-cased-500-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-500-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-500-MLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("rithwik-db/bert-base-cased-500-MLM") model = AutoModelForMaskedLM.from_pretrained("rithwik-db/bert-base-cased-500-MLM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c78989e632b60e9a3687459561a8f587419a2a1666cf7966975d10a60d15817a
- Size of remote file:
- 3.64 kB
- SHA256:
- 1afe3526bd03c8705fc260de52965e0374e48720cc2d65e144b1b2ff122996aa
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