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:
- 836aed99ccb22c7d99828e9c4214ad627d0564531938a971406c959a7df21d9a
- Size of remote file:
- 433 MB
- SHA256:
- 68aee2fa6bd4b6d45a2a1ea59c952bd3366e1df3f483c5415572548b70eb6700
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