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Update README.md

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@@ -286,7 +286,7 @@ candidate_labels = ['travel', 'cooking', 'dancing']
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  classifier(sequence_to_classify, candidate_labels)
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  ```
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- # [TA] Tasksource-adapters: 1 line access to more than 500 tasks
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  ```python
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  !pip install tasknet tasksource
@@ -295,8 +295,8 @@ pipe = tn.load_pipeline('sileod/deberta-v3-base-tasksource-nli','glue/sst2') # w
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  pipe(['That movie was great !', 'Awful movie.'])
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  # [{'label': 'positive', 'score': 0.9956}, {'label': 'negative', 'score': 0.9967}]
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  ```
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-
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  The list of tasks is available in model config.json.
 
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  ## Evaluation
 
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  classifier(sequence_to_classify, candidate_labels)
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  ```
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+ # [TA] Tasksource-adapters: 1 line access to hundreds of tasks
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  ```python
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  !pip install tasknet tasksource
 
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  pipe(['That movie was great !', 'Awful movie.'])
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  # [{'label': 'positive', 'score': 0.9956}, {'label': 'negative', 'score': 0.9967}]
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  ```
 
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  The list of tasks is available in model config.json.
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+ This is more efficient than ZS since it requires only one forward pass per example, but it is less flexible.
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  ## Evaluation