Robotics
Transformers
ONNX
Safetensors
PyTorch
mvae
feature-extraction
prosoro
multimodal
custom_code
Instructions to use prosoro/prosoro-mvae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prosoro/prosoro-mvae with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("prosoro/prosoro-mvae", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
han-xudong commited on
Commit ·
e7ce8c7
1
Parent(s): 930efdf
modified: modeling.py
Browse files- modeling.py +1 -0
modeling.py
CHANGED
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@@ -104,6 +104,7 @@ class MVAE(PreTrainedModel):
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@classmethod
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def from_pretrained(cls, pretrained_model_name_or_path, *args, **kwargs):
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prosoro_type = kwargs.pop("prosoro_type", None)
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print(f"Loading model from {pretrained_model_name_or_path} with prosoro_type={prosoro_type}")
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@classmethod
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def from_pretrained(cls, pretrained_model_name_or_path, *args, **kwargs):
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print(kwargs)
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prosoro_type = kwargs.pop("prosoro_type", None)
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print(f"Loading model from {pretrained_model_name_or_path} with prosoro_type={prosoro_type}")
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