Instructions to use princeton-nlp/efficient_mlm_m0.50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use princeton-nlp/efficient_mlm_m0.50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="princeton-nlp/efficient_mlm_m0.50")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/efficient_mlm_m0.50") model = AutoModelForMaskedLM.from_pretrained("princeton-nlp/efficient_mlm_m0.50") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bfb7e9521e9f589befb303e32f5f29fabb6e3a4ee1a20f2129e7719bfead068a
- Size of remote file:
- 1.42 GB
- SHA256:
- afe1f99bcc2c748dc1b9d0fca9fabea72d62fdf09e6802d3ba8988f2dc6d4609
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