Instructions to use CogComp/ZeroShotWiki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CogComp/ZeroShotWiki with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CogComp/ZeroShotWiki")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CogComp/ZeroShotWiki") model = AutoModelForSequenceClassification.from_pretrained("CogComp/ZeroShotWiki") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -15,7 +15,7 @@ Concatenate the text sentence with each of the candidate labels as input to the
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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import torch
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tokenizer = AutoTokenizer.from_pretrained("
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model = AutoModelForSequenceClassification.from_pretrained("CogComp/ZeroShotWiki")
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labels = ["sports", "business", "politics"]
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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import torch
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tokenizer = AutoTokenizer.from_pretrained("CogComp/ZeroShotWiki")
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model = AutoModelForSequenceClassification.from_pretrained("CogComp/ZeroShotWiki")
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labels = ["sports", "business", "politics"]
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