Instructions to use baebee/opened with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baebee/opened with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="baebee/opened")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("baebee/opened") model = AutoModelForMaskedLM.from_pretrained("baebee/opened") - Notebooks
- Google Colab
- Kaggle
Upload 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:c84f3efa6e2a9c61992ce01f1300df374da19c3c257ce40a6f235872a4d37162
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size 1338699179
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