How to use Rami/multi-label-class-classification-on-github-issues with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Rami/multi-label-class-classification-on-github-issues")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Rami/multi-label-class-classification-on-github-issues") model = AutoModelForSequenceClassification.from_pretrained("Rami/multi-label-class-classification-on-github-issues", device_map="auto")
https://huggingface.co/Rami/multi-label-class-classification-on-github-issues/resolve/d13bf63a05f9dde930bbcfeec7b028bd53670c16/tokenizer.json
hf download hf://Rami/multi-label-class-classification-on-github-issues@d13bf63a05f9dde930bbcfeec7b028bd53670c16/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Rami/multi-label-class-classification-on-github-issues/resolve/d13bf63a05f9dde930bbcfeec7b028bd53670c16/tokenizer.json
