Instructions to use hf-internal-testing/tiny-random-MptModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MptModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-MptModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MptModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MptModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f6f9e46dcde0098f0a8b3da0ff6272e4bf4a18b8a3f83a46659baf78f9c320e
- Size of remote file:
- 381 kB
- SHA256:
- 1450145391145f777c140ae33435d9198ad72820d88ca9c3e43eee17973fb770
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