How to use g8a9/roberta-tiny-8l-10M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="g8a9/roberta-tiny-8l-10M")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("g8a9/roberta-tiny-8l-10M") model = AutoModelForMaskedLM.from_pretrained("g8a9/roberta-tiny-8l-10M", device_map="auto")
https://huggingface.co/g8a9/roberta-tiny-8l-10M/resolve/main/tokenizer.json
hf download hf://g8a9/roberta-tiny-8l-10M/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/g8a9/roberta-tiny-8l-10M/resolve/main/tokenizer.json
