Instructions to use andreasmadsen/efficient_mlm_m0.80 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreasmadsen/efficient_mlm_m0.80 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="andreasmadsen/efficient_mlm_m0.80")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("andreasmadsen/efficient_mlm_m0.80") model = AutoModelForMaskedLM.from_pretrained("andreasmadsen/efficient_mlm_m0.80") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6543c8c4fc1c28b1aa0d96804f5d40de6a55c3915e6fc95f31212f27f78dcff3
- Size of remote file:
- 1.63 GB
- SHA256:
- 6b7ec746cca913c4a272f1974d0107c5dd04f9467f74fb22b9be4f21f712f7c7
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