Transformers How to use hf-tiny-model-private/tiny-random-XLNetModel 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-XLNetModel") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-XLNetModel")
model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-XLNetModel", device_map="auto") 
