Commit From AutoTrain

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+tags: autotrain
+language: ar
+widget:
+- text: "I love AutoTrain 🤗"
+datasets:
+- Yah216/autotrain-data-Poem_meter_3
+co2_eq_emissions: 404.66986451902227
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 914730015
+- CO2 Emissions (in grams): 404.66986451902227
+
+## Validation Metrics
+
+- Loss: 0.21315555274486542
+- Accuracy: 0.9493554089595999
+- Macro F1: 0.7537353091512587
+- Micro F1: 0.9493554089595999
+- Weighted F1: 0.9480607076301577
+- Macro Precision: 0.7925160467633223
+- Micro Precision: 0.9493554089595999
+- Weighted Precision: 0.9477713919153736
+- Macro Recall: 0.7352339804511467
+- Micro Recall: 0.9493554089595999
+- Weighted Recall: 0.9493554089595999
+
+
+## Usage
+
+You can use cURL to access this model:
+
+```
+$ 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
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("Yah216/autotrain-Poem_meter_3-914730015", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("Yah216/autotrain-Poem_meter_3-914730015", use_auth_token=True)
+
+inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

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+  "padding": "max_length",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
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+  "transformers_version": "4.15.0",
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+  "use_cache": true,
+  "vocab_size": 32000
+}

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special_tokens_map.json

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tokenizer_config.json

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