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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#13
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3fbfb5e30cab20da967660ba310d398ab59ffcf996d2d0ba0a67ed32f25f4d17
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size 385724
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