How to use ibm-research/materials.selfies-ted with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ibm-research/materials.selfies-ted")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ibm-research/materials.selfies-ted") model = AutoModelForSeq2SeqLM.from_pretrained("ibm-research/materials.selfies-ted", device_map="auto")
https://huggingface.co/ibm-research/materials.selfies-ted/resolve/main/tokenizer.json
hf download hf://ibm-research/materials.selfies-ted/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/ibm-research/materials.selfies-ted/resolve/main/tokenizer.json
