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:
- 312c8edc46bacfdf831551b8a4efc59abd009a73b3776b64739570d06d445c35
- Size of remote file:
- 1.11 GB
- SHA256:
- 7eb580b845e64e2d3346ce7e00fcb6483a89ba1189f4906dfe245870483eec79
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