Instructions to use hf-internal-testing/tiny-random-MegaModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MegaModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-MegaModel")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MegaModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b2906ae2d364fafd7e9affb89f69cc23b5c7c4062db9bf94a9f82d7672437020
- Size of remote file:
- 409 kB
- SHA256:
- 7d1b1f638cf1c6fb275b4cf4e57064fcdbf73709bbfef2c98c68b88e6fd10ef2
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