Instructions to use andreasmadsen/efficient_mlm_m0.20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreasmadsen/efficient_mlm_m0.20 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="andreasmadsen/efficient_mlm_m0.20")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("andreasmadsen/efficient_mlm_m0.20") model = AutoModelForMaskedLM.from_pretrained("andreasmadsen/efficient_mlm_m0.20") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae4a0c4ddc0dbf0c495b0a71b4575814c904151ccb05f59637a7926f511a22c6
- Size of remote file:
- 1.42 GB
- SHA256:
- 3d2eb4b3759818c9609eb417a5d301b1bb14c687ad545055afa331f60f491f39
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