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Update README.md

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  1. README.md +7 -7
README.md CHANGED
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  ---
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- tags: autotrain
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  language: ar
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  widget:
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- - text: "I love AutoTrain 🤗"
 
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  datasets:
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  - Yah216/autotrain-data-Poem_meter_3
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  co2_eq_emissions: 404.66986451902227
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  # Model Trained Using AutoTrain
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  - Problem type: Multi-class Classification
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- - Model ID: 914730015
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  - CO2 Emissions (in grams): 404.66986451902227
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  ## Validation Metrics
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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/Yah216/autotrain-Poem_meter_3-914730015
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  ```
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  Or Python API:
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  ```
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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- model = AutoModelForSequenceClassification.from_pretrained("Yah216/autotrain-Poem_meter_3-914730015", use_auth_token=True)
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- tokenizer = AutoTokenizer.from_pretrained("Yah216/autotrain-Poem_meter_3-914730015", 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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  ---
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+ ---
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  language: ar
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  widget:
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+ - text: "قفا نبك من ذِكرى حبيب ومنزلِ بسِقطِ اللِّوى بينَ الدَّخول فحَوْملِ"
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+ - text: "سَلو قَلبي غَداةَ سَلا وَثابا لَعَلَّ عَلى الجَمالِ لَهُ عِتابا"
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  datasets:
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  - Yah216/autotrain-data-Poem_meter_3
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  co2_eq_emissions: 404.66986451902227
 
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  # Model Trained Using AutoTrain
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  - Problem type: Multi-class Classification
 
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  - CO2 Emissions (in grams): 404.66986451902227
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  ## Validation Metrics
 
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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": "قفا نبك من ذِكرى حبيب ومنزلِ بسِقطِ اللِّوى بينَ الدَّخول فحَوْملِ"}' https://api-inference.huggingface.co/models/Yah216/Arabic_poem_meter_3
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  ```
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  Or Python API:
 
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  ```
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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+ model = AutoModelForSequenceClassification.from_pretrained("Yah216/Arabic_poem_meter_3", use_auth_token=True)
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+ tokenizer = AutoTokenizer.from_pretrained("Yah216/Arabic_poem_meter_3", use_auth_token=True)
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+ inputs = tokenizer("قفا نبك من ذِكرى حبيب ومنزلِ بسِقطِ اللِّوى بينَ الدَّخول فحَوْملِ", return_tensors="pt")
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  outputs = model(**inputs)
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  ```