Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use hohorong/tool_choose2_micro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hohorong/tool_choose2_micro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hohorong/tool_choose2_micro")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hohorong/tool_choose2_micro") model = AutoModelForSequenceClassification.from_pretrained("hohorong/tool_choose2_micro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "bert-base-multilingual-cased", | |
| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "directionality": "bidi", | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "AI_Workspace_Embedding_Chat_Bot(MyData_ai).mydataai", | |
| "1": "Atlassian_Wiki_API.confluence_create_page", | |
| "2": "Atlassian_Wiki_API.confluence_get_content", | |
| "3": "Atlassian_Wiki_API.confluence_get_search", | |
| "4": "Atlassian_Wiki_API.confluence_put_page", | |
| "5": "Cafe24_Hotdesk_API.hotdesk_get_available", | |
| "6": "Cafe24_Hotdesk_API.hotdesk_get_reserve", | |
| "7": "Cafe24_Hotdesk_API.hotdesk_get_search", | |
| "8": "Cafe24_Hotdesk_API.hotdesk_post_cancel", | |
| "9": "Cafe24_Hotdesk_API.hotdesk_post_reserve", | |
| "10": "Cafe24_Meeting_Master_API.meeting_master_get_meeting", | |
| "11": "Cafe24_Meeting_Master_API.meeting_master_get_my_meeting", | |
| "12": "Cafe24_Meeting_Master_API.meeting_master_get_room", | |
| "13": "Cafe24_Meeting_Master_API.meeting_master_get_user", | |
| "14": "Cafe24_Meeting_Master_API.meeting_master_post_meeting", | |
| "15": "Cafe24_ec_Solution_Data_Blocks.chatbot_post_api", | |
| "16": "Google_Search_API_plugin.search_api_google_search_search_post", | |
| "17": "Jira_API_plugin.jira_direct_api", | |
| "18": "Jira_API_plugin.jira_direct_get_api", | |
| "19": "Jira_API_plugin.jira_direct_update_api", | |
| "20": "Welfare_points.welfare_my_get", | |
| "21": "check-vacation-groupware.handler", | |
| "22": "workspace-food-recommend.handler", | |
| "23": "\uc774\ubbf8\uc9c0_\uc0dd\uc131\uc744_\uc704\ud55c_\ub2ec\ub9ac_plugin.create_image_api_create_image_post" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "AI_Workspace_Embedding_Chat_Bot(MyData_ai).mydataai": 0, | |
| "Atlassian_Wiki_API.confluence_create_page": 1, | |
| "Atlassian_Wiki_API.confluence_get_content": 2, | |
| "Atlassian_Wiki_API.confluence_get_search": 3, | |
| "Atlassian_Wiki_API.confluence_put_page": 4, | |
| "Cafe24_Hotdesk_API.hotdesk_get_available": 5, | |
| "Cafe24_Hotdesk_API.hotdesk_get_reserve": 6, | |
| "Cafe24_Hotdesk_API.hotdesk_get_search": 7, | |
| "Cafe24_Hotdesk_API.hotdesk_post_cancel": 8, | |
| "Cafe24_Hotdesk_API.hotdesk_post_reserve": 9, | |
| "Cafe24_Meeting_Master_API.meeting_master_get_meeting": 10, | |
| "Cafe24_Meeting_Master_API.meeting_master_get_my_meeting": 11, | |
| "Cafe24_Meeting_Master_API.meeting_master_get_room": 12, | |
| "Cafe24_Meeting_Master_API.meeting_master_get_user": 13, | |
| "Cafe24_Meeting_Master_API.meeting_master_post_meeting": 14, | |
| "Cafe24_ec_Solution_Data_Blocks.chatbot_post_api": 15, | |
| "Google_Search_API_plugin.search_api_google_search_search_post": 16, | |
| "Jira_API_plugin.jira_direct_api": 17, | |
| "Jira_API_plugin.jira_direct_get_api": 18, | |
| "Jira_API_plugin.jira_direct_update_api": 19, | |
| "Welfare_points.welfare_my_get": 20, | |
| "check-vacation-groupware.handler": 21, | |
| "workspace-food-recommend.handler": 22, | |
| "\uc774\ubbf8\uc9c0_\uc0dd\uc131\uc744_\uc704\ud55c_\ub2ec\ub9ac_plugin.create_image_api_create_image_post": 23 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "pooler_fc_size": 768, | |
| "pooler_num_attention_heads": 12, | |
| "pooler_num_fc_layers": 3, | |
| "pooler_size_per_head": 128, | |
| "pooler_type": "first_token_transform", | |
| "position_embedding_type": "absolute", | |
| "problem_type": "multi_label_classification", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.35.0", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 119547 | |
| } | |