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")
https://huggingface.co/hf-tiny-model-private/tiny-random-XLMWithLMHeadModel/resolve/main/generation_config.json
hf download hf://hf-tiny-model-private/tiny-random-XLMWithLMHeadModel/generation_config.json
curl -L -o generation_config.json https://huggingface.co/hf-tiny-model-private/tiny-random-XLMWithLMHeadModel/resolve/main/generation_config.json
