Instructions to use JunxiongWang/BiGS_128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JunxiongWang/BiGS_128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="JunxiongWang/BiGS_128")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("JunxiongWang/BiGS_128", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
6d8a3cc
1
Parent(s): 3bb199b
Add pytorch model
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 sha256:425607abe07d53fc93e372d39d77549881030f3626889dd2281c7395bb32c0a7
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size 1389657369
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