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