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