Instructions to use opticalmaterials/opticalbert_cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use opticalmaterials/opticalbert_cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="opticalmaterials/opticalbert_cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("opticalmaterials/opticalbert_cased") model = AutoModelForMaskedLM.from_pretrained("opticalmaterials/opticalbert_cased") - Notebooks
- Google Colab
- Kaggle
Commit ·
ccb49da
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Parent(s): 2a6f997
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Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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