Instructions to use sjwsjw/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sjwsjw/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sjwsjw/dummy-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sjwsjw/dummy-model") model = AutoModelForMaskedLM.from_pretrained("sjwsjw/dummy-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb9cc9634657dd2bb723be0e1517f9c285ddda6f1e52d361bea8c4cd5b7b40da
- Size of remote file:
- 542 MB
- SHA256:
- ec2ee552aebbaafdd4ce8901f8fefca59f3e5e079e2dd16cf8a832c9a0451f5a
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