How to use hf-tiny-model-private/tiny-random-SplinterModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-SplinterModel")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-SplinterModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-SplinterModel", device_map="auto")
https://huggingface.co/hf-tiny-model-private/tiny-random-SplinterModel/resolve/acf31e8eadccdfe50a6ed21f329393692f649a85/tokenizer.json
hf download hf://hf-tiny-model-private/tiny-random-SplinterModel@acf31e8eadccdfe50a6ed21f329393692f649a85/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/hf-tiny-model-private/tiny-random-SplinterModel/resolve/acf31e8eadccdfe50a6ed21f329393692f649a85/tokenizer.json
