Instructions to use visheratin/MC-LLaVA-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use visheratin/MC-LLaVA-3b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("visheratin/MC-LLaVA-3b", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update modeling file
Browse files- config.json +1 -1
config.json
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@@ -1,6 +1,6 @@
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{
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"auto_map": {
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"AutoConfig": "
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"AutoModel": "modeling_llava.LlavaForCausalLM",
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"AutoModelForCausalLM": "modeling_llava.LlavaForCausalLM"
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},
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{
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"auto_map": {
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"AutoConfig": "modeling_llava.LlavaConfig",
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"AutoModel": "modeling_llava.LlavaForCausalLM",
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"AutoModelForCausalLM": "modeling_llava.LlavaForCausalLM"
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},
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