Instructions to use ashercn97/ashbert-v003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashercn97/ashbert-v003 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ashercn97/ashbert-v003")# Load model directly from transformers import AutoModelWithLMHead model = AutoModelWithLMHead.from_pretrained("ashercn97/ashbert-v003", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc1995126fda3010d086adba93a6225dda3d9ba57d51ef89455fc43e683d243e
- Size of remote file:
- 147 MB
- SHA256:
- 479677efc67df0a7217f0a1d5e72317d8bb1531bb5ca79c5dbc26ca428d056c7
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