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