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Update README.md

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  1. README.md +3 -3
README.md CHANGED
@@ -2,7 +2,7 @@
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  tags: autotrain
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  language: en
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  widget:
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- - text: "I love AutoTrain 🤗"
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  datasets:
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  - Shenzy2/autotrain-data-NER4DesignTutor
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  co2_eq_emissions: 0.004032656988228696
@@ -27,7 +27,7 @@ co2_eq_emissions: 0.004032656988228696
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  You can use cURL to access this model:
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  ```
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- $ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/Shenzy2/autotrain-NER4DesignTutor-1169643336
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  ```
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  Or Python API:
@@ -39,7 +39,7 @@ model = AutoModelForTokenClassification.from_pretrained("Shenzy2/autotrain-NER4D
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  tokenizer = AutoTokenizer.from_pretrained("Shenzy2/autotrain-NER4DesignTutor-1169643336", use_auth_token=True)
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- inputs = tokenizer("I love AutoTrain", return_tensors="pt")
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  outputs = model(**inputs)
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  ```
 
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  tags: autotrain
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  language: en
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  widget:
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+ - text: "Why is the username the largest part of each card?"
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  datasets:
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  - Shenzy2/autotrain-data-NER4DesignTutor
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  co2_eq_emissions: 0.004032656988228696
 
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  You can use cURL to access this model:
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  ```
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+ $ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "Why is the username the largest part of each card?"}' https://api-inference.huggingface.co/models/Shenzy2/autotrain-NER4DesignTutor-1169643336
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  ```
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  Or Python API:
 
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  tokenizer = AutoTokenizer.from_pretrained("Shenzy2/autotrain-NER4DesignTutor-1169643336", use_auth_token=True)
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+ inputs = tokenizer("Why is the username the largest part of each card?", return_tensors="pt")
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  outputs = model(**inputs)
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  ```