Instructions to use huawei-noah/JABERv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huawei-noah/JABERv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="huawei-noah/JABERv2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("huawei-noah/JABERv2") model = AutoModelForMaskedLM.from_pretrained("huawei-noah/JABERv2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bce2cd0f7ede27da7e795ee4d48ad44f65c376e810ac834ab6e902b17eae3ed8
- Size of remote file:
- 541 MB
- SHA256:
- 501d68121b19948e05615f7970aa286f9d35cd433ff29550f1518e706c8af8f1
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