Commit From AutoTrain

.gitattributes

@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst 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
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,56 @@
+---
+tags:
+- autotrain
+- text-classification
+language:
+- unk
+widget:
+- text: "I love AutoTrain"
+datasets:
+- DarwinAnim8or/autotrain-data-emoji-v3
+co2_eq_emissions:
+  emissions: 0.6833689692559574
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 83947142400
+- CO2 Emissions (in grams): 0.6834
+
+## Validation Metrics
+
+- Loss: 2.339
+- Accuracy: 0.216
+- Macro F1: 0.136
+- Micro F1: 0.216
+- Weighted F1: 0.163
+- Macro Precision: 0.126
+- Micro Precision: 0.216
+- Weighted Precision: 0.152
+- Macro Recall: 0.179
+- Micro Recall: 0.216
+- Weighted Recall: 0.216
+
+
+## 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/DarwinAnim8or/autotrain-emoji-v3-83947142400
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("DarwinAnim8or/autotrain-emoji-v3-83947142400", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("DarwinAnim8or/autotrain-emoji-v3-83947142400", use_auth_token=True)
+
+inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+
+outputs = model(**inputs)
+```

added_tokens.json

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+  "[MASK]": 128000
+}

config.json

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+  "_num_labels": 31,
+  "architectures": [
+    "DebertaV2ForSequenceClassification"
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+  "model_type": "deberta-v2",
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+  "position_buckets": 256,
+  "relative_attention": true,
+  "share_att_key": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.29.2",
+  "type_vocab_size": 0,
+  "vocab_size": 128100
+}

model.safetensors

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special_tokens_map.json

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tokenizer_config.json

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+}