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