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