How to use Elif-Rana/BioBERTurk_Custom_Classification_and_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Elif-Rana/BioBERTurk_Custom_Classification_and_NER")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Elif-Rana/BioBERTurk_Custom_Classification_and_NER") model = AutoModelForSequenceClassification.from_pretrained("Elif-Rana/BioBERTurk_Custom_Classification_and_NER", device_map="auto")
https://huggingface.co/Elif-Rana/BioBERTurk_Custom_Classification_and_NER/resolve/e41d45501cda82e3381dc12097f0537e7db77e84/tokenizer.json
hf download hf://Elif-Rana/BioBERTurk_Custom_Classification_and_NER@e41d45501cda82e3381dc12097f0537e7db77e84/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Elif-Rana/BioBERTurk_Custom_Classification_and_NER/resolve/e41d45501cda82e3381dc12097f0537e7db77e84/tokenizer.json
