# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("nreimers/mMiniLMv2-L12-H384-distilled-from-XLMR-Large")
model = AutoModelForMaskedLM.from_pretrained("nreimers/mMiniLMv2-L12-H384-distilled-from-XLMR-Large", device_map="auto")Quick Links
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Check out the documentation for more information.
Multilingual MiniLMv2
This is a MiniLMv2 model from: https://github.com/microsoft/unilm
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nreimers/mMiniLMv2-L12-H384-distilled-from-XLMR-Large")