Instructions to use andreasmadsen/efficient_mlm_m0.40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreasmadsen/efficient_mlm_m0.40 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="andreasmadsen/efficient_mlm_m0.40")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("andreasmadsen/efficient_mlm_m0.40") model = AutoModelForMaskedLM.from_pretrained("andreasmadsen/efficient_mlm_m0.40") - Notebooks
- Google Colab
- Kaggle
metadata
inference: false
This is a model checkpoint for "Should You Mask 15% in Masked Language Modeling" (code).
The original checkpoint is avaliable at princeton-nlp/efficient_mlm_m0.40. Unfortunately this checkpoint depends on code that isn't part of the official transformers
library. Additionally, the checkpoints contains unused weights due to a bug.
This checkpoint fixes the unused weights issue and uses the RobertaPreLayerNorm model from the transformers
library.