Text Classification
Transformers
Safetensors
English
roberta
record-types
data-licensing
company-data
data-export
text-embeddings-inference
Instructions to use aitrainingdatabroker/record-type-page-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aitrainingdatabroker/record-type-page-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aitrainingdatabroker/record-type-page-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aitrainingdatabroker/record-type-page-classifier") model = AutoModelForSequenceClassification.from_pretrained("aitrainingdatabroker/record-type-page-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from aitrainingdatabroker/record-type-page-classifier: direct link, hf CLI and curl.
- Browser
- Download file 3.19 kB
-
https://huggingface.co/aitrainingdatabroker/record-type-page-classifier/resolve/main/config.json
- Command line
-
hf download hf://aitrainingdatabroker/record-type-page-classifier/config.json
-
curl -L -o config.json https://huggingface.co/aitrainingdatabroker/record-type-page-classifier/resolve/main/config.json
3.19 kB
| { | |
| "_name_or_path": "distilroberta-base", | |
| "architectures": [ | |
| "RobertaForSequenceClassification" | |
| ], | |
| "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": "accounting-and-erp-records", | |
| "1": "cad-and-engineering-files", | |
| "2": "call-recordings", | |
| "3": "change-orders-and-rfis", | |
| "4": "claims-and-underwriting-files", | |
| "5": "client-deliverables-and-drafts", | |
| "6": "closed-deal-files", | |
| "7": "code-and-pull-request-history", | |
| "8": "confluence-data-export", | |
| "9": "consented-recordings", | |
| "10": "crm-history", | |
| "11": "egocentric-video", | |
| "12": "github-repository-export", | |
| "13": "gmail-data-export", | |
| "14": "google-drive-export", | |
| "15": "hubspot-data-export", | |
| "16": "inspection-reports-and-photos", | |
| "17": "jira-data-export", | |
| "18": "lab-notebooks-and-experiment-records", | |
| "19": "labeled-tables-and-datasets", | |
| "20": "microsoft-365-email-export", | |
| "21": "native-word-excel-and-powerpoint-files", | |
| "22": "project-and-task-history", | |
| "23": "quickbooks-data-export", | |
| "24": "quotes-and-estimates", | |
| "25": "salesforce-data-export", | |
| "26": "slack-data-export", | |
| "27": "sops-and-knowledge-bases", | |
| "28": "support-tickets", | |
| "29": "team-chat", | |
| "30": "theses-and-dissertations", | |
| "31": "work-orders-and-dispatch-notes", | |
| "32": "zendesk-data-export" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "accounting-and-erp-records": 0, | |
| "cad-and-engineering-files": 1, | |
| "call-recordings": 2, | |
| "change-orders-and-rfis": 3, | |
| "claims-and-underwriting-files": 4, | |
| "client-deliverables-and-drafts": 5, | |
| "closed-deal-files": 6, | |
| "code-and-pull-request-history": 7, | |
| "confluence-data-export": 8, | |
| "consented-recordings": 9, | |
| "crm-history": 10, | |
| "egocentric-video": 11, | |
| "github-repository-export": 12, | |
| "gmail-data-export": 13, | |
| "google-drive-export": 14, | |
| "hubspot-data-export": 15, | |
| "inspection-reports-and-photos": 16, | |
| "jira-data-export": 17, | |
| "lab-notebooks-and-experiment-records": 18, | |
| "labeled-tables-and-datasets": 19, | |
| "microsoft-365-email-export": 20, | |
| "native-word-excel-and-powerpoint-files": 21, | |
| "project-and-task-history": 22, | |
| "quickbooks-data-export": 23, | |
| "quotes-and-estimates": 24, | |
| "salesforce-data-export": 25, | |
| "slack-data-export": 26, | |
| "sops-and-knowledge-bases": 27, | |
| "support-tickets": 28, | |
| "team-chat": 29, | |
| "theses-and-dissertations": 30, | |
| "work-orders-and-dispatch-notes": 31, | |
| "zendesk-data-export": 32 | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 514, | |
| "model_type": "roberta", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 6, | |
| "pad_token_id": 1, | |
| "position_embedding_type": "absolute", | |
| "problem_type": "single_label_classification", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.46.3", | |
| "type_vocab_size": 1, | |
| "use_cache": true, | |
| "vocab_size": 50265 | |
| } | |