Instructions to use javismiles/hf1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use javismiles/hf1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("javismiles/hf1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Push model using huggingface_hub.
Browse files- config.json +1 -0
config.json
CHANGED
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@@ -1,6 +1,7 @@
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{
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"_name_or_path": "gpt2",
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"hidden_size": 32,
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"num_channels": 3,
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"num_classes": 10
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}
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{
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"_name_or_path": "gpt2",
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"hidden_size": 32,
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+
"model_type": "gpt2",
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"num_channels": 3,
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"num_classes": 10
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}
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