Duplicated from MoritzLaurer/roberta-large-zeroshot-v2.0-c
How to use TigerByteCyber/roberta-large-zeroshot-v2.0-c with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="TigerByteCyber/roberta-large-zeroshot-v2.0-c")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TigerByteCyber/roberta-large-zeroshot-v2.0-c") model = AutoModelForSequenceClassification.from_pretrained("TigerByteCyber/roberta-large-zeroshot-v2.0-c", device_map="auto")
https://huggingface.co/TigerByteCyber/roberta-large-zeroshot-v2.0-c/resolve/main/tokenizer.json
hf download hf://TigerByteCyber/roberta-large-zeroshot-v2.0-c/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/TigerByteCyber/roberta-large-zeroshot-v2.0-c/resolve/main/tokenizer.json
