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 +1,32 @@
+---
+tags: autotrain
+language: unk
+widget:
+- text: "I love AutoTrain 🤗"
+datasets:
+- ouiame/autotrain-data-orangesum
+co2_eq_emissions: 999.838587232387
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Summarization
+- Model ID: 1000833138
+- CO2 Emissions (in grams): 999.838587232387
+
+## Validation Metrics
+
+- Loss: 2.4244203567504883
+- Rouge1: 25.7023
+- Rouge2: 8.5872
+- RougeL: 18.6776
+- RougeLsum: 19.821
+- Gen Len: 39.732
+
+## Usage
+
+You can use cURL to access this model:
+
+```
+$ curl -X POST -H "Authorization: Bearer YOUR_HUGGINGFACE_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/ouiame/autotrain-orangesum-1000833138
+```

config.json

@@ -0,0 +1,185 @@
+{
+  "_name_or_path": "AutoTrain",
+  "architectures": [
+    "EncoderDecoderModel"
+  ],
+  "decoder": {
+    "_name_or_path": "cahya/gpt2-small-indonesian-522M",
+    "activation_function": "gelu_new",
+    "add_cross_attention": true,
+    "architectures": [
+      "GPT2LMHeadModel"
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+    "tie_encoder_decoder": false,
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+    "top_k": 50,
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+    "type_vocab_size": 2,
+    "typical_p": 1.0,
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+}

pytorch_model.bin

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sample_input.pkl

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special_tokens_map.json

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tokenizer_config.json

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