hf-tiny-model-private

/

tiny-random-Data2VecTextForMaskedLM

like 0

Follow

HF tiny models (private usage) 11

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("fill-mask", model="hf-tiny-model-private/tiny-random-Data2VecTextForMaskedLM")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-Data2VecTextForMaskedLM")
model = AutoModelForMaskedLM.from_pretrained("hf-tiny-model-private/tiny-random-Data2VecTextForMaskedLM")