How to use jhu-clsp/ettin-encoder-150m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jhu-clsp/ettin-encoder-150m")
# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("jhu-clsp/ettin-encoder-150m") model = AutoModelForMaskedLM.from_pretrained("jhu-clsp/ettin-encoder-150m", device_map="auto")
https://huggingface.co/jhu-clsp/ettin-encoder-150m/resolve/main/tokenizer.json
hf download hf://jhu-clsp/ettin-encoder-150m/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/jhu-clsp/ettin-encoder-150m/resolve/main/tokenizer.json
