Instructions to use edge2992/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edge2992/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="edge2992/dummy-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("edge2992/dummy-model") model = AutoModelForMaskedLM.from_pretrained("edge2992/dummy-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00ef76a0a7ed1e83c1b357c57edc6062dcb000a4d235085be43865d134c42b0d
- Size of remote file:
- 443 MB
- SHA256:
- ee6a52c8a61386989337981a6f28697de8e2640cf6f0c530124e0499988203cf
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