Instructions to use hf-tiny-model-private/tiny-random-TvltModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-TvltModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-TvltModel")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-TvltModel", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4574bb186600ccc64da7d8ff44295b9e60bbc3886ab167c07ca99fa077ebdfbd
- Size of remote file:
- 4.96 MB
- SHA256:
- 23f107dde53d0a3b6b6d9038091458e79b16c8709d40fde36b437805e67f4f5e
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