Instructions to use hf-tiny-model-private/tiny-random-FunnelModel 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-FunnelModel 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-FunnelModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-FunnelModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-FunnelModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d244dd2452153c542852f97e0634454fe35562e29bfb3faace661e06fe5c3b1c
- Size of remote file:
- 314 kB
- SHA256:
- 9427cf9f1fe8f9c7ddcd7063b75fa7ae10a884519aa6ef8e97c2c5cc8b4a9dd9
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