Instructions to use casehold/bert-double with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use casehold/bert-double with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="casehold/bert-double")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("casehold/bert-double") model = AutoModelForPreTraining.from_pretrained("casehold/bert-double") - Notebooks
- Google Colab
- Kaggle
Lucia Zheng commited on
Commit ·
fcc2c62
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Parent(s): da57f9e
Update pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8a6e42fd37ae7eca9c1e94b68dca73249122b0277aa31df768dedcf5208bf2e3
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size 440514422
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