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