Instructions to use sks01dev/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sks01dev/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sks01dev/dummy-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sks01dev/dummy-model") model = AutoModelForMaskedLM.from_pretrained("sks01dev/dummy-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8426dbd8c21c694ac80707e9c66cf7894bcbd79c72c68c47d2680e589494b403
- Size of remote file:
- 541 MB
- SHA256:
- f898ca87882b452acf6e0991c6fd97004fd6423607beb13aaeec2f1df3a26eb0
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