How to use pere/roberta-base-exp-32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pere/roberta-base-exp-32")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pere/roberta-base-exp-32") model = AutoModelForMaskedLM.from_pretrained("pere/roberta-base-exp-32", device_map="auto")
https://huggingface.co/pere/roberta-base-exp-32/resolve/main/tokenizer.json
hf download hf://pere/roberta-base-exp-32/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/pere/roberta-base-exp-32/resolve/main/tokenizer.json
