Instructions to use andreasmadsen/efficient_mlm_m0.30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreasmadsen/efficient_mlm_m0.30 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="andreasmadsen/efficient_mlm_m0.30")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("andreasmadsen/efficient_mlm_m0.30") model = AutoModelForMaskedLM.from_pretrained("andreasmadsen/efficient_mlm_m0.30") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d2a0427a2898387a7d4b6b718fd87896fc804e89f0b0b0ea65c0dbf2fcc7003
- Size of remote file:
- 1.63 GB
- SHA256:
- 6cc15e7075c22a5d563aebf72136e4617077ce834a24858eaf1c0fe2927bf705
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