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