How to use DeepaPeri/MBERT-TRAINED-CONLL2003-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DeepaPeri/MBERT-TRAINED-CONLL2003-en")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DeepaPeri/MBERT-TRAINED-CONLL2003-en") model = AutoModelForTokenClassification.from_pretrained("DeepaPeri/MBERT-TRAINED-CONLL2003-en", device_map="auto")
https://huggingface.co/DeepaPeri/MBERT-TRAINED-CONLL2003-en/resolve/main/tokenizer.json
hf download hf://DeepaPeri/MBERT-TRAINED-CONLL2003-en/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/DeepaPeri/MBERT-TRAINED-CONLL2003-en/resolve/main/tokenizer.json
