Instructions to use hf-internal-testing/tiny-random-FunnelBaseModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FunnelBaseModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-FunnelBaseModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FunnelBaseModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-FunnelBaseModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6b212f9620052be45a7facec73b76ea3b0096719985a4e7a4d88f312ec2468d
- Size of remote file:
- 280 kB
- SHA256:
- ebd945e41bfdd68e1fc380c9554518851f5b5f3be3bc26aed8a8c9c9a2386fd8
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