Instructions to use ai4bharat/IndicBERTv2-SS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai4bharat/IndicBERTv2-SS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ai4bharat/IndicBERTv2-SS")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ai4bharat/IndicBERTv2-SS") model = AutoModelForMaskedLM.from_pretrained("ai4bharat/IndicBERTv2-SS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34d25713373cb24eec2a6439da5efdbd387c06f02d189f9ab64008e4c9464d7f
- Size of remote file:
- 6.28 MB
- SHA256:
- ce88958afb2e6021377e3a212d73ffde48f0a194e17d1f6d14be7b972547e192
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