Instructions to use MAGAer13/mplug-owl-llama-7b-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MAGAer13/mplug-owl-llama-7b-pt with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MAGAer13/mplug-owl-llama-7b-pt", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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"num_hidden_layers": 6,
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"num_attention_heads": 16,
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"hidden_act": "gelu",
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"intermediate_size":
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"hidden_dropout_prob": 0.1,
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"attention_probs_dropout_prob": 0.1,
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"max_position_embeddings": 512,
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"num_hidden_layers": 6,
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"num_attention_heads": 16,
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"hidden_act": "gelu",
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"intermediate_size": 2816,
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"hidden_dropout_prob": 0.1,
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"attention_probs_dropout_prob": 0.1,
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"max_position_embeddings": 512,
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