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