Instructions to use hf-internal-testing/tiny-random-FunnelForPreTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FunnelForPreTraining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FunnelForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-internal-testing/tiny-random-FunnelForPreTraining", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 898a455a6a685de3fcea597ef33c9f69a9378f5f049bb429b3bbdcbdeb6bd27c
- Size of remote file:
- 426 kB
- SHA256:
- 6784813df394d6d2d0373c5b68f466217b1a257e3c7db70121c980e203b9df63
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