How to use hf-tiny-model-private/tiny-random-FNetForPreTraining with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-FNetForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-tiny-model-private/tiny-random-FNetForPreTraining", device_map="auto")
https://huggingface.co/hf-tiny-model-private/tiny-random-FNetForPreTraining/resolve/f5a3735a0f907eb7817657b8ce5850bed68a021b/tokenizer.json
hf download hf://hf-tiny-model-private/tiny-random-FNetForPreTraining@f5a3735a0f907eb7817657b8ce5850bed68a021b/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/hf-tiny-model-private/tiny-random-FNetForPreTraining/resolve/f5a3735a0f907eb7817657b8ce5850bed68a021b/tokenizer.json
