How to use simonmun/COHA1940s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1940s")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1940s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1940s", device_map="auto")
https://huggingface.co/simonmun/COHA1940s/resolve/main/vocab.json
hf download hf://simonmun/COHA1940s/vocab.json
curl -L -o vocab.json https://huggingface.co/simonmun/COHA1940s/resolve/main/vocab.json
