Instructions to use hf-tiny-model-private/tiny-random-FunnelForPreTraining 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-FunnelForPreTraining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-FunnelForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-tiny-model-private/tiny-random-FunnelForPreTraining", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba77db422dc9398da79c8eb2dba407e59266a9d88ca1f4f6db1ec11c432bf73d
- Size of remote file:
- 342 kB
- SHA256:
- 08cd7e8e6c6bd4febaa3dfc8ffb1d0ac252f06007cb95697d75ba0f64b64f84e
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