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change notebook name
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@@ -133,7 +133,7 @@ print(out.logits.shape) # (B, L, V = 11)
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<p>Model embeddings can be used for fine-tuning on downstream tasks.</p>
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<h2 style="margin-top: 40px;">🔍 Model interpretation</h2>
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<p>Here is an example of how to use the interpretation pipeline
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<div class="code"><pre><code class="language-python">from transformers import pipeline
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import torch
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import matplotlib.pyplot as plt
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<p>Model embeddings can be used for fine-tuning on downstream tasks.</p>
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<h2 style="margin-top: 40px;">🔍 Model interpretation</h2>
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<p>Here is an example of how to use the interpretation pipeline on the NTv3 post-trained modelfor multi-scale analysis of DNA sequences:</p>
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<div class="code"><pre><code class="language-python">from transformers import pipeline
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import torch
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import matplotlib.pyplot as plt
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