Commit From AutoTrain

.gitattributes

@@ -25,3 +25,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* 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

@@ -0,0 +1,52 @@
+---
+tags: autotrain
+language: es
+widget:
+- text: "I love AutoTrain 🤗"
+datasets:
+- gabitoo1234/autotrain-data-mut_all_text
+co2_eq_emissions: 115.48848403681228
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 680820343
+- CO2 Emissions (in grams): 115.48848403681228
+
+## Validation Metrics
+
+- Loss: 0.3041240870952606
+- Accuracy: 0.9462770369425126
+- Macro F1: 0.7836898686625933
+- Micro F1: 0.9462770369425126
+- Weighted F1: 0.9449148298990091
+- Macro Precision: 0.8344505891491089
+- Micro Precision: 0.9462770369425126
+- Weighted Precision: 0.9451247372908952
+- Macro Recall: 0.7568785255994025
+- Micro Recall: 0.9462770369425126
+- Weighted Recall: 0.9462770369425126
+
+
+## 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/gabitoo1234/autotrain-mut_all_text-680820343
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("gabitoo1234/autotrain-mut_all_text-680820343", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("gabitoo1234/autotrain-mut_all_text-680820343", use_auth_token=True)
+
+inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

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special_tokens_map.json

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tokenizer_config.json

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