metadata
language: en
thumbnail: https://huggingface.co/front/thumbnails/google.png
license: apache-2.0
datasets:
- fka/awesome-chatgpt-prompts
- Open-Orca/OpenOrca
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
MobileBERT is a thin version of BERT_LARGE, while equipped with bottleneck structures and a carefully designed balance between self-attentions and feed-forward networks.
This checkpoint is the original MobileBert Optimized Uncased English: uncased_L-24_H-128_B-512_A-4_F-4_OPT checkpoint.
How to use MobileBERT in transformers
from transformers import pipeline
fill_mask = pipeline(
"fill-mask",
model="google/mobilebert-uncased",
tokenizer="google/mobilebert-uncased"
)
print(
fill_mask(f"HuggingFace is creating a {fill_mask.tokenizer.mask_token} that the community uses to solve NLP tasks.")
)