Instructions to use hf-internal-testing/tiny-random-PersimmonModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-PersimmonModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-PersimmonModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-PersimmonModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-PersimmonModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e98df49af922c5d15c1e69c7991e57de3e630b4aa7548ccd19975a3aa54efe1
- Size of remote file:
- 33.6 MB
- SHA256:
- f57f55ee02bb31802e724aa0cac6300ef8df42805f32702e53109ee9da5669c4
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