How to use dilanjt/java-javascript_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dilanjt/java-javascript_model")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dilanjt/java-javascript_model") model = AutoModelForMaskedLM.from_pretrained("dilanjt/java-javascript_model", device_map="auto")
https://huggingface.co/dilanjt/java-javascript_model/resolve/81b3b9464d689bf5678f9758544f4c927546fad3/tokenizer.json
hf download hf://dilanjt/java-javascript_model@81b3b9464d689bf5678f9758544f4c927546fad3/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/dilanjt/java-javascript_model/resolve/81b3b9464d689bf5678f9758544f4c927546fad3/tokenizer.json
