Instructions to use opticalmaterials/opticalbert_uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use opticalmaterials/opticalbert_uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="opticalmaterials/opticalbert_uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("opticalmaterials/opticalbert_uncased") model = AutoModelForMaskedLM.from_pretrained("opticalmaterials/opticalbert_uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b53f1e6ba1c11b4cdadec9a4e004695bd4bc91bdbdbdf1646ffa4642c284c9b
- Size of remote file:
- 438 MB
- SHA256:
- 24cf94968a47f77f1dc185daa4856603ae71defce10175c11373f0e80139aff5
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