How to use hf-internal-testing/tiny-random-UdopModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-UdopModel")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-UdopModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-UdopModel", device_map="auto")
https://huggingface.co/hf-internal-testing/tiny-random-UdopModel/resolve/1eccf0ed25cc55daa4f8d98c762b5933c1901afc/tokenizer.json
hf download hf://hf-internal-testing/tiny-random-UdopModel@1eccf0ed25cc55daa4f8d98c762b5933c1901afc/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/hf-internal-testing/tiny-random-UdopModel/resolve/1eccf0ed25cc55daa4f8d98c762b5933c1901afc/tokenizer.json
