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