How to use fasterinnerlooper/codeBERTa-csharp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="fasterinnerlooper/codeBERTa-csharp")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("fasterinnerlooper/codeBERTa-csharp") model = AutoModelForMaskedLM.from_pretrained("fasterinnerlooper/codeBERTa-csharp", device_map="auto")
https://huggingface.co/fasterinnerlooper/codeBERTa-csharp/resolve/0a13f62045bab216b1a983f7225fcd4efe643fb3/tokenizer.json
hf download hf://fasterinnerlooper/codeBERTa-csharp@0a13f62045bab216b1a983f7225fcd4efe643fb3/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/fasterinnerlooper/codeBERTa-csharp/resolve/0a13f62045bab216b1a983f7225fcd4efe643fb3/tokenizer.json
