Instructions to use hf-internal-testing/tiny-random-MraModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MraModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-MraModel")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MraModel") model = AutoModelForMultimodalLM.from_pretrained("hf-internal-testing/tiny-random-MraModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8335885d99534e5c793ad3c919e7db07b2a0f68ceee2cb85b17703c9ead60a4
- Size of remote file:
- 178 kB
- SHA256:
- 67b085007c93ed130a2fd74a1146addd9b4fb175dc08013bc883af4c50a1e996
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