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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ai4bharat/IndicBERTv2-SS") model = AutoModelForMaskedLM.from_pretrained("ai4bharat/IndicBERTv2-SS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from ai4bharat/IndicBERTv2-SS: direct link, hf CLI and curl.
- Browser
- Download file 51 Bytes
-
https://huggingface.co/ai4bharat/IndicBERTv2-SS/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://ai4bharat/IndicBERTv2-SS/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/ai4bharat/IndicBERTv2-SS/resolve/main/tokenizer_config.json
51 Bytes
| { | |
| "tokenizer_class": "PreTrainedTokenizerFast" | |
| } | |