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@@ -5,6 +5,8 @@ tags:
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  model-index:
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  - name: flan-t5-small-distil-v2
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  results: []
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -41,7 +43,50 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: linear
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  - num_epochs: 5
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- ### Training results
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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@@ -50,4 +95,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.27.0
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  - Pytorch 2.0.0+cu117
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  - Datasets 2.2.0
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- - Tokenizers 0.13.2
 
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  model-index:
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  - name: flan-t5-small-distil-v2
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  results: []
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+ language:
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+ - en
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  - lr_scheduler_type: linear
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  - num_epochs: 5
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+ ## Use
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+
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+ ### CPU
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+
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+ <details>
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+ <summary> Click to expand </summary>
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+
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+ ```python
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+ # pip install -q transformers
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+ from transformers import pipeline
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+
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+ checkpoint = "{model_name}"
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+
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+ model = pipeline('text2text-generation', model=checkpoint, use_auth_token=True)
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+
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+ input_prompt = 'Please let me know your thoughts on the given place and why you think it deserves to be visited: \n"Barcelona, Spain"'
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+ generated_text = generator(input_prompt, max_length=512, do_sample=True, repetition_penalty=1.5)[0]['generated_text']
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+
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+ print("Response": generated_text)
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+ ```
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+
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+ </details>
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+
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+ ### GPU
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+
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+ <details>
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+ <summary> Click to expand </summary>
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+
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+ ```python
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+ # pip install -q transformers
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+ from transformers import pipeline
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+
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+ checkpoint = "{model_name}"
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+
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+ model = pipeline('text2text-generation', model=checkpoint, use_auth_token=True, device=0)
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+
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+ input_prompt = 'Please let me know your thoughts on the given place and why you think it deserves to be visited: \n"Barcelona, Spain"'
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+ generated_text = generator(input_prompt, max_length=512, do_sample=True, repetition_penalty=1.5)[0]['generated_text']
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+
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+ print("Response": generated_text)
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+ ```
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+
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+ </details>
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+
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  - Transformers 4.27.0
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  - Pytorch 2.0.0+cu117
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  - Datasets 2.2.0
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+ - Tokenizers 0.13.2