bernardo-de-almeida commited on
Commit
1dc15bb
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1 Parent(s): 4675225

fix: hyperlinks

Browse files
Files changed (3) hide show
  1. tabs/demo.html +1 -1
  2. tabs/functional_tracks.html +4 -4
  3. tabs/home.html +0 -1
tabs/demo.html CHANGED
@@ -7,7 +7,7 @@
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  <a
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  href="https://huggingface.co/spaces/InstaDeepAI/ntv3_tracks"
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  target="_blank"
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- rel="noopener"
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  style="
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  display: inline-block;
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  padding: 16px 32px;
 
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  <a
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  href="https://huggingface.co/spaces/InstaDeepAI/ntv3_tracks"
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  target="_blank"
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+ rel="noopener noreferrer"
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  style="
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  display: inline-block;
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  padding: 16px 32px;
tabs/functional_tracks.html CHANGED
@@ -2,11 +2,11 @@
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  <h2>🧬 NTv3 Post-Trained Functional Track Prediction</h2>
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  <p>This notebook demonstrates how to use the NTv3 post-trained model to predict functional tracks and genome annotation directly from a DNA sequence.</p>
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  <p>The pipeline abstracts away all the underlying steps: running inference with the model and plotting the predictions per tracks.</p>
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- <p>If you're interested in exploring the intermediate probabilities, please refer to the <a href="https://huggingface.co/spaces/InstaDeepAI/ntv3/blob/main/notebooks_tutorials/01_tracks_prediction.ipynb" target="_blank" rel="noopener">track-prediction notebook</a>.</p>
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  <p>
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  <strong>🔗 Quick links:</strong><br>
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- • <a href="https://huggingface.co/spaces/InstaDeepAI/ntv3/blob/main/notebooks_pipelines/01_functional_track_prediction.ipynb" target="_blank" rel="noopener">View notebook on Hugging Face</a><br>
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- • <a href="https://colab.research.google.com/github/InstaDeepAI/ntv3/blob/main/notebooks_pipelines/01_functional_track_prediction.ipynb" target="_blank" rel="noopener">Open directly in Google Colab</a>
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  </p>
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  </div>
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@@ -245,7 +245,7 @@ browser # <- just return the object, no .show()</code></pre></div>
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  <h2>📓 Full Notebook</h2>
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  <p>To view and run the complete notebook interactively:</p>
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  <ul>
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- <li><a href="https://huggingface.co/spaces/InstaDeepAI/ntv3/blob/main/notebooks_pipelines/01_functional_track_prediction.ipynb" target="_blank" rel="noopener">View notebook on Hugging Face</a></li>
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  <li>Download and run in Jupyter, Google Colab, or any notebook environment</li>
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  </ul>
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  </div>
 
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  <h2>🧬 NTv3 Post-Trained Functional Track Prediction</h2>
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  <p>This notebook demonstrates how to use the NTv3 post-trained model to predict functional tracks and genome annotation directly from a DNA sequence.</p>
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  <p>The pipeline abstracts away all the underlying steps: running inference with the model and plotting the predictions per tracks.</p>
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+ <p>If you're interested in exploring the intermediate probabilities, please refer to the <a href="https://huggingface.co/spaces/InstaDeepAI/ntv3/blob/main/notebooks_tutorials/01_tracks_prediction.ipynb" target="_blank" rel="noopener noreferrer">track-prediction notebook</a>.</p>
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  <p>
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  <strong>🔗 Quick links:</strong><br>
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+ • <a href="https://huggingface.co/spaces/InstaDeepAI/ntv3/blob/main/notebooks_pipelines/01_functional_track_prediction.ipynb" target="_blank" rel="noopener noreferrer">View notebook on Hugging Face</a><br>
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+ • <a href="https://colab.research.google.com/github/InstaDeepAI/ntv3/blob/main/notebooks_pipelines/01_functional_track_prediction.ipynb" target="_blank" rel="noopener noreferrer">Open directly in Google Colab</a>
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  </p>
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  </div>
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  <h2>📓 Full Notebook</h2>
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  <p>To view and run the complete notebook interactively:</p>
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  <ul>
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+ <li><a href="https://huggingface.co/spaces/InstaDeepAI/ntv3/blob/main/notebooks_pipelines/01_functional_track_prediction.ipynb" target="_blank" rel="noopener noreferrer">View notebook on Hugging Face</a></li>
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  <li>Download and run in Jupyter, Google Colab, or any notebook environment</li>
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  </ul>
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  </div>
tabs/home.html CHANGED
@@ -105,7 +105,6 @@
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  <li><a href="https://github.com/instadeepai/nucleotide-transformer" target="_blank" rel="noopener noreferrer">💻 JAX model code (GitHub)</a></li>
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  <li><a href="https://huggingface.co/collections/InstaDeepAI/nucleotide-transformer-v3" target="_blank" rel="noopener noreferrer">🎯 HF Model Collection (all NTv3 models)</a></li>
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  <li><a href="https://huggingface.co/spaces/InstaDeepAI/ntv3/tree/main/notebooks_tutorials" target="_blank" rel="noopener noreferrer">📚 Tutorial </a> and <a href="https://huggingface.co/spaces/InstaDeepAI/ntv3/tree/main/notebooks_pipelines" target="_blank" rel="noopener noreferrer">🔧 Pipeline</a> notebooks</li>
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- <li><a href="https://huggingface.co/spaces/InstaDeepAI/ntv3/tree/main/notebooks" target="_blank" rel="noopener noreferrer">📓 All notebooks</a></li>
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  <li><a href="https://huggingface.co/spaces/InstaDeepAI/ntv3_benchmark" target="_blank" rel="noopener noreferrer">🏆 NTv3 benchmark leaderboard</a></li>
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  </ul>
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  </div>
 
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  <li><a href="https://github.com/instadeepai/nucleotide-transformer" target="_blank" rel="noopener noreferrer">💻 JAX model code (GitHub)</a></li>
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  <li><a href="https://huggingface.co/collections/InstaDeepAI/nucleotide-transformer-v3" target="_blank" rel="noopener noreferrer">🎯 HF Model Collection (all NTv3 models)</a></li>
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  <li><a href="https://huggingface.co/spaces/InstaDeepAI/ntv3/tree/main/notebooks_tutorials" target="_blank" rel="noopener noreferrer">📚 Tutorial </a> and <a href="https://huggingface.co/spaces/InstaDeepAI/ntv3/tree/main/notebooks_pipelines" target="_blank" rel="noopener noreferrer">🔧 Pipeline</a> notebooks</li>
 
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  <li><a href="https://huggingface.co/spaces/InstaDeepAI/ntv3_benchmark" target="_blank" rel="noopener noreferrer">🏆 NTv3 benchmark leaderboard</a></li>
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  </ul>
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  </div>