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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+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+tags: autotrain
+language: en
+widget:
+- text: "I love AutoTrain 🤗"
+datasets:
+- palakagl/autotrain-data-PersonalAssitant
+co2_eq_emissions: 5.080390550458655
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 717221775
+- CO2 Emissions (in grams): 5.080390550458655
+
+## Validation Metrics
+
+- Loss: 0.35279911756515503
+- Accuracy: 0.9269102990033222
+- Macro F1: 0.9261839948926327
+- Micro F1: 0.9269102990033222
+- Weighted F1: 0.9263981751760975
+- Macro Precision: 0.9273912049203341
+- Micro Precision: 0.9269102990033222
+- Weighted Precision: 0.9280084437800646
+- Macro Recall: 0.927250645380574
+- Micro Recall: 0.9269102990033222
+- Weighted Recall: 0.9269102990033222
+
+
+## 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/palakagl/autotrain-PersonalAssitant-717221775
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("palakagl/autotrain-PersonalAssitant-717221775", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("palakagl/autotrain-PersonalAssitant-717221775", 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": 64,
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "alarm_query",
+    "1": "alarm_remove",
+    "2": "alarm_set",
+    "3": "audio_volume_down",
+    "4": "audio_volume_mute",
+    "5": "audio_volume_up",
+    "6": "calendar_query",
+    "7": "calendar_remove",
+    "8": "calendar_set",
+    "9": "cooking_recipe",
+    "10": "datetime_convert",
+    "11": "datetime_query",
+    "12": "email_addcontact",
+    "13": "email_query",
+    "14": "email_querycontact",
+    "15": "email_sendemail",
+    "16": "general_affirm",
+    "17": "general_commandstop",
+    "18": "general_confirm",
+    "19": "general_dontcare",
+    "20": "general_explain",
+    "21": "general_joke",
+    "22": "general_negate",
+    "23": "general_praise",
+    "24": "general_quirky",
+    "25": "general_repeat",
+    "26": "iot_cleaning",
+    "27": "iot_coffee",
+    "28": "iot_hue_lightchange",
+    "29": "iot_hue_lightdim",
+    "30": "iot_hue_lightoff",
+    "31": "iot_hue_lighton",
+    "32": "iot_hue_lightup",
+    "33": "iot_wemo_off",
+    "34": "iot_wemo_on",
+    "35": "lists_createoradd",
+    "36": "lists_query",
+    "37": "lists_remove",
+    "38": "music_likeness",
+    "39": "music_query",
+    "40": "music_settings",
+    "41": "news_query",
+    "42": "play_audiobook",
+    "43": "play_game",
+    "44": "play_music",
+    "45": "play_podcasts",
+    "46": "play_radio",
+    "47": "qa_currency",
+    "48": "qa_definition",
+    "49": "qa_factoid",
+    "50": "qa_maths",
+    "51": "qa_stock",
+    "52": "recommendation_events",
+    "53": "recommendation_locations",
+    "54": "recommendation_movies",
+    "55": "social_post",
+    "56": "social_query",
+    "57": "takeaway_order",
+    "58": "takeaway_query",
+    "59": "transport_query",
+    "60": "transport_taxi",
+    "61": "transport_ticket",
+    "62": "transport_traffic",
+    "63": "weather_query"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "alarm_query": 0,
+    "alarm_remove": 1,
+    "alarm_set": 2,
+    "audio_volume_down": 3,
+    "audio_volume_mute": 4,
+    "audio_volume_up": 5,
+    "calendar_query": 6,
+    "calendar_remove": 7,
+    "calendar_set": 8,
+    "cooking_recipe": 9,
+    "datetime_convert": 10,
+    "datetime_query": 11,
+    "email_addcontact": 12,
+    "email_query": 13,
+    "email_querycontact": 14,
+    "email_sendemail": 15,
+    "general_affirm": 16,
+    "general_commandstop": 17,
+    "general_confirm": 18,
+    "general_dontcare": 19,
+    "general_explain": 20,
+    "general_joke": 21,
+    "general_negate": 22,
+    "general_praise": 23,
+    "general_quirky": 24,
+    "general_repeat": 25,
+    "iot_cleaning": 26,
+    "iot_coffee": 27,
+    "iot_hue_lightchange": 28,
+    "iot_hue_lightdim": 29,
+    "iot_hue_lightoff": 30,
+    "iot_hue_lighton": 31,
+    "iot_hue_lightup": 32,
+    "iot_wemo_off": 33,
+    "iot_wemo_on": 34,
+    "lists_createoradd": 35,
+    "lists_query": 36,
+    "lists_remove": 37,
+    "music_likeness": 38,
+    "music_query": 39,
+    "music_settings": 40,
+    "news_query": 41,
+    "play_audiobook": 42,
+    "play_game": 43,
+    "play_music": 44,
+    "play_podcasts": 45,
+    "play_radio": 46,
+    "qa_currency": 47,
+    "qa_definition": 48,
+    "qa_factoid": 49,
+    "qa_maths": 50,
+    "qa_stock": 51,
+    "recommendation_events": 52,
+    "recommendation_locations": 53,
+    "recommendation_movies": 54,
+    "social_post": 55,
+    "social_query": 56,
+    "takeaway_order": 57,
+    "takeaway_query": 58,
+    "transport_query": 59,
+    "transport_taxi": 60,
+    "transport_ticket": 61,
+    "transport_traffic": 62,
+    "weather_query": 63
+  },
+  "layer_norm_eps": 1e-12,
+  "max_length": 64,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "padding": "max_length",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.15.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

pytorch_model.bin

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sample_input.pkl

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special_tokens_map.json

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

tokenizer_config.json

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