Instructions to use lowem1/albert_cms-rx-quality-correction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lowem1/albert_cms-rx-quality-correction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lowem1/albert_cms-rx-quality-correction")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lowem1/albert_cms-rx-quality-correction") model = AutoModelForMaskedLM.from_pretrained("lowem1/albert_cms-rx-quality-correction") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0e1b1968d31f57277057ce132cefd33c3b00e2d7af3f9e01334a4f8f592f8a38
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size 44894568
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