Instructions to use DoyyingFace/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DoyyingFace/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DoyyingFace/dummy-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DoyyingFace/dummy-model") model = AutoModelForMaskedLM.from_pretrained("DoyyingFace/dummy-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0b77f62cabe5009f3655f55f96f82979bb0cf43c3559c5262c2af9dc998cb14
- Size of remote file:
- 543 MB
- SHA256:
- 748ad80d8efaa591e29a362aecc46bf6e0d5f9b898c1fbb1d7d8da46c00820bb
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