How to use jumelet/gptbert-swe-250steps-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jumelet/gptbert-swe-250steps-base", trust_remote_code=True)
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jumelet/gptbert-swe-250steps-base", trust_remote_code=True, device_map="auto")
https://huggingface.co/jumelet/gptbert-swe-250steps-base/resolve/main/tokenizer.json
hf download hf://jumelet/gptbert-swe-250steps-base/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/jumelet/gptbert-swe-250steps-base/resolve/main/tokenizer.json
