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Update app.py
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app.py
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@@ -443,11 +443,11 @@ Play with the parameters below to understand how beam search decoding works!
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#### <span style='color:var(--primary-500)!important'>Parameters:</span>
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- **Sentence to decode from** (`inputs`): the input sequence to your decoder.
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- **Number of steps** (`max_new_tokens`): the number of tokens to generate
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- **Number of beams** (`num_beams`): the number of beams to use
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- **Length penalty** (`length_penalty`): the length penalty to apply to outputs. `length_penalty` > 0.0 promotes longer sequences, while `length_penalty` < 0.0 encourages shorter sequences.
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This parameter will not impact the beam search paths, but only influence the choice of sequences in the end towards longer or shorter sequences.
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- **Number of return sequences** (`num_return_sequences`): the number of sequences to be returned at the end of generation. Should be `<= num_beams
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"""
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)
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text = gr.Textbox(
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#### <span style='color:var(--primary-500)!important'>Parameters:</span>
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| 445 |
- **Sentence to decode from** (`inputs`): the input sequence to your decoder.
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| 446 |
+
- **Number of steps** (`max_new_tokens`): the number of tokens to generate.
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| 447 |
+
- **Number of beams** (`num_beams`): the number of beams to use.
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| 448 |
- **Length penalty** (`length_penalty`): the length penalty to apply to outputs. `length_penalty` > 0.0 promotes longer sequences, while `length_penalty` < 0.0 encourages shorter sequences.
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| 449 |
This parameter will not impact the beam search paths, but only influence the choice of sequences in the end towards longer or shorter sequences.
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| 450 |
+
- **Number of return sequences** (`num_return_sequences`): the number of sequences to be returned at the end of generation. Should be `<= num_beams`.
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| 451 |
"""
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)
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text = gr.Textbox(
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