# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("topsinfosolutions/indian-state-by-name")
model = AutoModelForSequenceClassification.from_pretrained("topsinfosolutions/indian-state-by-name")Quick Links
Indian States Person Names Model
This model is designed to recognize and process names associated with Indian states. Built on top of Google's bert-base-uncased, this model has been fine-tuned specifically to understand names from various regions in India, drawing on the topsinfosolutions/indian-states-person-names dataset. It aims to enhance the accuracy of name-based natural language processing tasks in applications related to Indian demographics and linguistics.
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Model tree for topsinfosolutions/indian-state-by-name
Base model
google-bert/bert-base-uncased
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="topsinfosolutions/indian-state-by-name")