Commit From AutoTrain

.gitattributes

@@ -25,3 +25,6 @@ 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
+*.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

@@ -0,0 +1,52 @@
+---
+tags: autotrain
+language: unk
+widget:
+- text: "I love AutoTrain 🤗"
+datasets:
+- EXOP/autotrain-data-exop-msc-flat-categories-multilingual
+co2_eq_emissions: 652.3729662301374
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 1147942216
+- CO2 Emissions (in grams): 652.3729662301374
+
+## Validation Metrics
+
+- Loss: 0.4508252441883087
+- Accuracy: 0.8882102517882141
+- Macro F1: 0.7681095738330185
+- Micro F1: 0.8882102517882141
+- Weighted F1: 0.8873062298114072
+- Macro Precision: 0.8125021386404774
+- Micro Precision: 0.8882102517882141
+- Weighted Precision: 0.8875709606885154
+- Macro Recall: 0.7429489567097202
+- Micro Recall: 0.8882102517882141
+- Weighted Recall: 0.8882102517882141
+
+
+## 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/EXOP/autotrain-exop-msc-flat-categories-multilingual-1147942216
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("EXOP/autotrain-exop-msc-flat-categories-multilingual-1147942216", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("EXOP/autotrain-exop-msc-flat-categories-multilingual-1147942216", use_auth_token=True)
+
+inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

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+}

pytorch_model.bin

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special_tokens_map.json

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+{
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+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "name_or_path": "AutoTrain",
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+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}