# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("sumitrsch/muril_large_multiconer22_hi")
model = AutoModelForTokenClassification.from_pretrained("sumitrsch/muril_large_multiconer22_hi", device_map="auto")Quick Links
This model is fine-tuned for Multiconer22 task on Hindi dataset. hi_test.csv is preprocessed Hindi test dataset, which conll format is provided by Multiconer22 task.
This model can predict NER tag for Hindi sentnces using colab notebook https://colab.research.google.com/drive/17WyqwdoRNnzImeik6wTRE5uuj9QQnkXA#scrollTo=jQIadl5OOX1N
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sumitrsch/muril_large_multiconer22_hi")