Instructions to use rahular/varta-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rahular/varta-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="rahular/varta-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("rahular/varta-bert") model = AutoModelForMaskedLM.from_pretrained("rahular/varta-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fbac03e49e1c690aa12b78e32a546c16dc6b3253dde4082a5d864878a883048
- Size of remote file:
- 3.97 MB
- SHA256:
- d4645b564d21ce48d786040c6453555e3bee8960865a91e4b36d3dbfddbcafd2
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