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
File size: 3,194 Bytes
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"_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
}
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