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