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visheratin
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nllb-clip-base

Transformers
PyTorch
clip
Inference Endpoints
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@@ -41,3 +41,7 @@ hf_model = NLLBCLIPModel.from_pretrained("visheratin/nllb-clip-base")
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  outputs = hf_model(input_ids = text_inputs.input_ids, attention_mask = text_inputs.attention_mask, pixel_values=image_inputs.pixel_values)
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  ```
 
 
 
 
 
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  outputs = hf_model(input_ids = text_inputs.input_ids, attention_mask = text_inputs.attention_mask, pixel_values=image_inputs.pixel_values)
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  ```
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+ ## Acknowledgements
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+ I thank [Lambda Cloud](https://lambdalabs.com/) for providing compute resources to train the model.