accept_reservations account_blocked alarm application_status apr are_you_a_bot balance bill_balance bill_due book_flight book_hotel calculator calendar calendar_update calories cancel cancel_reservation car_rental card_declined carry_on change_accent change_ai_name change_language change_speed change_user_name change_volume confirm_reservation cook_time credit_limit credit_limit_change credit_score current_location damaged_card date definition direct_deposit directions distance do_you_have_pets exchange_rate expiration_date find_phone flight_status flip_coin food_last freeze_account fun_fact gas gas_type goodbye greeting how_busy how_old_are_you improve_credit_score income ingredient_substitution ingredients_list insurance insurance_change interest_rate international_fees international_visa jump_start last_maintenance lost_luggage make_call maybe meal_suggestion meaning_of_life measurement_conversion meeting_schedule min_payment mpg new_card next_holiday next_song no nutrition_info oil_change_how oil_change_when oos order order_checks order_status pay_bill payday pin_change play_music plug_type pto_balance pto_request pto_request_status pto_used recipe redeem_rewards reminder reminder_update repeat replacement_card_duration report_fraud report_lost_card reset_settings restaurant_reservation restaurant_reviews restaurant_suggestion rewards_balance roll_dice rollover_401k routing schedule_maintenance schedule_meeting share_location shopping_list shopping_list_update smart_home spelling spending_history sync_device taxes tell_joke text thank_you time timer timezone tire_change tire_pressure todo_list todo_list_update traffic transactions transfer translate travel_alert travel_notification travel_suggestion uber update_playlist user_name vaccines w2 weather what_are_your_hobbies what_can_i_ask_you what_is_your_name what_song where_are_you_from whisper_mode who_do_you_work_for who_made_you yes
# Intent Detection with BERT

This model was trained on the [CLINC150](https://arxiv.org/abs/1909.02027) dataset for customer intent detection. The dataset can be found on the [Hub](https://huggingface.co/datasets/clinc_oos). The model is used in Chapter 8: Making Transformers Efficient in Production in the [NLP with Transformers book](https://learning.oreilly.com/library/view/natural-language-processing/9781098103231/). You can find the full code in the accompanying [Github repository](https://github.com/nlp-with-transformers/notebooks/blob/main/08_model-compression.ipynb).

