# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("kornesh/indic-bert")
model = AutoModel.from_pretrained("kornesh/indic-bert")Quick Links
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Converted for Tensorflow
!pip install transformers sentencepiece
from transformers import TFAutoModel, AutoTokenizer
name = "ai4bharat/indic-bert"
model = TFAutoModel.from_pretrained(name, from_pt=True)
tokenizer = AutoTokenizer.from_pretrained(name)
model.save_pretrained("local-indic-bert")
tokenizer.save_pretrained("local-indic-bert")
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="kornesh/indic-bert")