Instructions to use acappella/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use acappella/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="acappella/dummy-model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("acappella/dummy-model") model = AutoModel.from_pretrained("acappella/dummy-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eab28b5423fde5dc5722dceafa91eeeaef92d73c93c276179a8725328d553bcc
- Size of remote file:
- 443 MB
- SHA256:
- 35ed71f2f1ab7167fc5cecd037396b474b149eb281c9465fdf3f06a9894d06fe
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