Transformers How to use hf-tiny-model-private/tiny-random-XLMWithLMHeadModel with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="hf-tiny-model-private/tiny-random-XLMWithLMHeadModel") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-XLMWithLMHeadModel")
model = AutoModelForMaskedLM.from_pretrained("hf-tiny-model-private/tiny-random-XLMWithLMHeadModel", device_map="auto") 
