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