Instructions to use hf-internal-testing/tiny-random-ConvBertModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ConvBertModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-ConvBertModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-ConvBertModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-ConvBertModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11d5c9d6f488746cd4190490953f954dfffe711f4193aa51c278ecf6f9d36abf
- Size of remote file:
- 5.33 MB
- SHA256:
- 0448408347dffd82c37500e3ce3eb6a2e589c74f1c06a071a663eae91b3f8d1a
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