Instructions to use ai4bharat/IndicBERTv2-MLM-Back-TLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai4bharat/IndicBERTv2-MLM-Back-TLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ai4bharat/IndicBERTv2-MLM-Back-TLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ai4bharat/IndicBERTv2-MLM-Back-TLM") model = AutoModelForMaskedLM.from_pretrained("ai4bharat/IndicBERTv2-MLM-Back-TLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
update weights
Browse files- pytorch_model.bin +2 -2
pytorch_model.bin
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