How to use dilip025/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dilip025/dummy-model")
# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dilip025/dummy-model") model = AutoModelForMaskedLM.from_pretrained("dilip025/dummy-model", device_map="auto")
https://huggingface.co/dilip025/dummy-model/resolve/d650a7fe3bb8d15ef289c3bda99685ca39704ff8/tokenizer.json
hf download hf://dilip025/dummy-model@d650a7fe3bb8d15ef289c3bda99685ca39704ff8/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/dilip025/dummy-model/resolve/d650a7fe3bb8d15ef289c3bda99685ca39704ff8/tokenizer.json
