Text Classification
Joblib
sentence-transformers
English
scikit-learn
intent-classification
clinc150
out-of-scope-detection
linear-svc
Instructions to use Amitava25/clinc150-mpnet-oos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Amitava25/clinc150-mpnet-oos with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Amitava25/clinc150-mpnet-oos") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
| { | |
| "0": "accept_reservations", | |
| "1": "account_blocked", | |
| "10": "book_hotel", | |
| "100": "report_lost_card", | |
| "101": "reset_settings", | |
| "102": "restaurant_reservation", | |
| "103": "restaurant_reviews", | |
| "104": "restaurant_suggestion", | |
| "105": "rewards_balance", | |
| "106": "roll_dice", | |
| "107": "rollover_401k", | |
| "108": "routing", | |
| "109": "schedule_maintenance", | |
| "11": "calculator", | |
| "110": "schedule_meeting", | |
| "111": "share_location", | |
| "112": "shopping_list", | |
| "113": "shopping_list_update", | |
| "114": "smart_home", | |
| "115": "spelling", | |
| "116": "spending_history", | |
| "117": "sync_device", | |
| "118": "taxes", | |
| "119": "tell_joke", | |
| "12": "calendar", | |
| "120": "text", | |
| "121": "thank_you", | |
| "122": "time", | |
| "123": "timer", | |
| "124": "timezone", | |
| "125": "tire_change", | |
| "126": "tire_pressure", | |
| "127": "todo_list", | |
| "128": "todo_list_update", | |
| "129": "traffic", | |
| "13": "calendar_update", | |
| "130": "transactions", | |
| "131": "transfer", | |
| "132": "translate", | |
| "133": "travel_alert", | |
| "134": "travel_notification", | |
| "135": "travel_suggestion", | |
| "136": "uber", | |
| "137": "update_playlist", | |
| "138": "user_name", | |
| "139": "vaccines", | |
| "14": "calories", | |
| "140": "w2", | |
| "141": "weather", | |
| "142": "what_are_your_hobbies", | |
| "143": "what_can_i_ask_you", | |
| "144": "what_is_your_name", | |
| "145": "what_song", | |
| "146": "where_are_you_from", | |
| "147": "whisper_mode", | |
| "148": "who_do_you_work_for", | |
| "149": "who_made_you", | |
| "15": "cancel", | |
| "150": "yes", | |
| "16": "cancel_reservation", | |
| "17": "car_rental", | |
| "18": "card_declined", | |
| "19": "carry_on", | |
| "2": "alarm", | |
| "20": "change_accent", | |
| "21": "change_ai_name", | |
| "22": "change_language", | |
| "23": "change_speed", | |
| "24": "change_user_name", | |
| "25": "change_volume", | |
| "26": "confirm_reservation", | |
| "27": "cook_time", | |
| "28": "credit_limit", | |
| "29": "credit_limit_change", | |
| "3": "application_status", | |
| "30": "credit_score", | |
| "31": "current_location", | |
| "32": "damaged_card", | |
| "33": "date", | |
| "34": "definition", | |
| "35": "direct_deposit", | |
| "36": "directions", | |
| "37": "distance", | |
| "38": "do_you_have_pets", | |
| "39": "exchange_rate", | |
| "4": "apr", | |
| "40": "expiration_date", | |
| "41": "find_phone", | |
| "42": "flight_status", | |
| "43": "flip_coin", | |
| "44": "food_last", | |
| "45": "freeze_account", | |
| "46": "fun_fact", | |
| "47": "gas", | |
| "48": "gas_type", | |
| "49": "goodbye", | |
| "5": "are_you_a_bot", | |
| "50": "greeting", | |
| "51": "how_busy", | |
| "52": "how_old_are_you", | |
| "53": "improve_credit_score", | |
| "54": "income", | |
| "55": "ingredient_substitution", | |
| "56": "ingredients_list", | |
| "57": "insurance", | |
| "58": "insurance_change", | |
| "59": "interest_rate", | |
| "6": "balance", | |
| "60": "international_fees", | |
| "61": "international_visa", | |
| "62": "jump_start", | |
| "63": "last_maintenance", | |
| "64": "lost_luggage", | |
| "65": "make_call", | |
| "66": "maybe", | |
| "67": "meal_suggestion", | |
| "68": "meaning_of_life", | |
| "69": "measurement_conversion", | |
| "7": "bill_balance", | |
| "70": "meeting_schedule", | |
| "71": "min_payment", | |
| "72": "mpg", | |
| "73": "new_card", | |
| "74": "next_holiday", | |
| "75": "next_song", | |
| "76": "no", | |
| "77": "nutrition_info", | |
| "78": "oil_change_how", | |
| "79": "oil_change_when", | |
| "8": "bill_due", | |
| "80": "oos", | |
| "81": "order", | |
| "82": "order_checks", | |
| "83": "order_status", | |
| "84": "pay_bill", | |
| "85": "payday", | |
| "86": "pin_change", | |
| "87": "play_music", | |
| "88": "plug_type", | |
| "89": "pto_balance", | |
| "9": "book_flight", | |
| "90": "pto_request", | |
| "91": "pto_request_status", | |
| "92": "pto_used", | |
| "93": "recipe", | |
| "94": "redeem_rewards", | |
| "95": "reminder", | |
| "96": "reminder_update", | |
| "97": "repeat", | |
| "98": "replacement_card_duration", | |
| "99": "report_fraud" | |
| } | |