How to use ctrlg/gpt2-large_common-gen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ctrlg/gpt2-large_common-gen")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ctrlg/gpt2-large_common-gen") model = AutoModel.from_pretrained("ctrlg/gpt2-large_common-gen", device_map="auto")
https://huggingface.co/ctrlg/gpt2-large_common-gen/resolve/main/tokenizer.json
hf download hf://ctrlg/gpt2-large_common-gen/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/ctrlg/gpt2-large_common-gen/resolve/main/tokenizer.json
