Instructions to use Clyde013/deqbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Clyde013/deqbert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Clyde013/deqbert-base")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Clyde013/deqbert-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93eac2ebfd27aeebc89d1cab78a51689ab3d7ca0146597e7fae44ca341e27120
- Size of remote file:
- 194 MB
- SHA256:
- a64303bedaed6f23b6f24387cd560cc2828c7e6b9e5f6b1c0f5d7d5c585a9481
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