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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d424602ec5e0c677200b8ec95e16da0a224e371d98b14361ea728aef7143af44
- Size of remote file:
- 388 kB
- SHA256:
- 789b49867e24d6bab26095102b7af6ba3507e2fc5d5edf8408b02d6e18a7840f
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