Instructions to use rzhai/efficient_mlm_m0.05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rzhai/efficient_mlm_m0.05 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="rzhai/efficient_mlm_m0.05")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("rzhai/efficient_mlm_m0.05") model = AutoModelForMaskedLM.from_pretrained("rzhai/efficient_mlm_m0.05", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Trained using https://github.com/princeton-nlp/DinkyTrain. Mask rate = 0.05.
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