Commit From AutoTrain

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
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+*.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 +1,45 @@
+---
+tags: autotrain
+language: unk
+widget:
+- text: "I love AutoTrain 🤗"
+datasets:
+- ScarlettSun9/autotrain-data-ZuoZhuan
+co2_eq_emissions: 14.50120424968173
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Entity Extraction
+- Model ID: 1100540143
+- CO2 Emissions (in grams): 14.50120424968173
+
+## Validation Metrics
+
+- Loss: 0.3792617619037628
+- Accuracy: 0.8799234894798035
+- Precision: 0.8133982801130555
+- Recall: 0.8416925948973242
+- F1: 0.8273035872656656
+
+## 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/ScarlettSun9/autotrain-ZuoZhuan-1100540143
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForTokenClassification, AutoTokenizer
+
+model = AutoModelForTokenClassification.from_pretrained("ScarlettSun9/autotrain-ZuoZhuan-1100540143", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("ScarlettSun9/autotrain-ZuoZhuan-1100540143", use_auth_token=True)
+
+inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

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+{
+  "_name_or_path": "AutoTrain",
+  "_num_labels": 28,
+  "architectures": [
+    "RobertaForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "/a",
+    "1": "/b",
+    "2": "/c",
+    "3": "/d",
+    "4": "/f",
+    "5": "/j",
+    "6": "/m",
+    "7": "/mr",
+    "8": "/n",
+    "9": "/nn",
+    "10": "/nr",
+    "11": "/ns",
+    "12": "/nsr",
+    "13": "/p",
+    "14": "/q",
+    "15": "/r",
+    "16": "/rn",
+    "17": "/rr",
+    "18": "/rs",
+    "19": "/s",
+    "20": "/sv",
+    "21": "/t",
+    "22": "/u",
+    "23": "/v",
+    "24": "/w",
+    "25": "/wv",
+    "26": "/y",
+    "27": "/yv"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "/a": 0,
+    "/b": 1,
+    "/c": 2,
+    "/d": 3,
+    "/f": 4,
+    "/j": 5,
+    "/m": 6,
+    "/mr": 7,
+    "/n": 8,
+    "/nn": 9,
+    "/nr": 10,
+    "/ns": 11,
+    "/nsr": 12,
+    "/p": 13,
+    "/q": 14,
+    "/r": 15,
+    "/rn": 16,
+    "/rr": 17,
+    "/rs": 18,
+    "/s": 19,
+    "/sv": 20,
+    "/t": 21,
+    "/u": 22,
+    "/v": 23,
+    "/w": 24,
+    "/wv": 25,
+    "/y": 26,
+    "/yv": 27
+  },
+  "layer_norm_eps": 1e-05,
+  "max_length": 256,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "padding": "max_length",
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.15.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

pytorch_model.bin

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sample_input.pkl

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special_tokens_map.json

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+{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}

tokenizer_config.json

@@ -0,0 +1 @@
+{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": true, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "trim_offsets": true, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "AutoTrain", "tokenizer_class": "RobertaTokenizer"}