Commit From AutoTrain

.gitattributes

@@ -32,3 +32,6 @@ 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:
+- wTao1215/autotrain-data-it-case-classify
+co2_eq_emissions:
+  emissions: 0.0206199757216604
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 56514130987
+- CO2 Emissions (in grams): 0.0206
+
+## Validation Metrics
+
+- Loss: 2.740
+- Accuracy: 0.303
+- Macro F1: 0.141
+- Micro F1: 0.303
+- Weighted F1: 0.210
+- Macro Precision: 0.135
+- Micro Precision: 0.303
+- Weighted Precision: 0.188
+- Macro Recall: 0.167
+- Micro Recall: 0.303
+- Weighted Recall: 0.303
+
+
+## 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/wTao1215/autotrain-it-case-classify-56514130987
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("wTao1215/autotrain-it-case-classify-56514130987", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("wTao1215/autotrain-it-case-classify-56514130987", use_auth_token=True)
+
+inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

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+{
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+  "_num_labels": 24,
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
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+  "directionality": "bidi",
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+  "layer_norm_eps": 1e-12,
+  "max_length": 192,
+  "max_position_embeddings": 512,
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+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 21128
+}

pytorch_model.bin

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special_tokens_map.json

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

tokenizer.json

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tokenizer_config.json

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+{
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+}