Instructions to use lysandre/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lysandre/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lysandre/dummy-model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lysandre/dummy-model") model = AutoModel.from_pretrained("lysandre/dummy-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 323ad438378f9f141729fbf49441c2fddbb67be000d37c7fa183b3e0c617f303
- Size of remote file:
- 433 MB
- SHA256:
- 14b124803f092e2e010a9e54c70d4bed8c7d90ef8c45c000e8c7a9ab455357a2
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