How to use devangb4/scikit-issues-multilabel-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="devangb4/scikit-issues-multilabel-classification")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("devangb4/scikit-issues-multilabel-classification") model = AutoModelForSequenceClassification.from_pretrained("devangb4/scikit-issues-multilabel-classification", device_map="auto")
https://huggingface.co/devangb4/scikit-issues-multilabel-classification/resolve/78141bc8796e68b0436d4f110f7b885fcfbfc86a/tokenizer.json
hf download hf://devangb4/scikit-issues-multilabel-classification@78141bc8796e68b0436d4f110f7b885fcfbfc86a/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/devangb4/scikit-issues-multilabel-classification/resolve/78141bc8796e68b0436d4f110f7b885fcfbfc86a/tokenizer.json
