Instructions to use Fulwah/SLP-AI-sa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fulwah/SLP-AI-sa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Fulwah/SLP-AI-sa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Fulwah/SLP-AI-sa") model = AutoModelForSequenceClassification.from_pretrained("Fulwah/SLP-AI-sa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 2,109 Bytes
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"add_cross_attention": false,
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": null,
"classifier_dropout": null,
"directionality": "bidi",
"dtype": "float32",
"eos_token_id": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "Fluency Disorder (\u062a\u0623\u062a\u0623\u0629)",
"1": "Language Disorder (\u062a\u0623\u062e\u0631 \u0644\u063a\u0629)",
"2": "Motor Speech Disorder (\u0627\u0636\u0637\u0631\u0627\u0628 \u062d\u0631\u0643\u064a)",
"3": "Other/Medical (\u0623\u062e\u0631\u0649/\u0637\u0628\u064a\u0629)",
"4": "Social Communication/ASD (\u062a\u0648\u0627\u0635\u0644 \u0648\u0627\u062c\u062a\u0645\u0627\u0639\u064a)",
"5": "Speech Sound Disorder (\u0645\u062e\u0627\u0631\u062c \u0627\u0644\u062d\u0631\u0648\u0641)"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"is_decoder": false,
"label2id": {
"Fluency Disorder (\u062a\u0623\u062a\u0623\u0629)": 0,
"Language Disorder (\u062a\u0623\u062e\u0631 \u0644\u063a\u0629)": 1,
"Motor Speech Disorder (\u0627\u0636\u0637\u0631\u0627\u0628 \u062d\u0631\u0643\u064a)": 2,
"Other/Medical (\u0623\u062e\u0631\u0649/\u0637\u0628\u064a\u0629)": 3,
"Social Communication/ASD (\u062a\u0648\u0627\u0635\u0644 \u0648\u0627\u062c\u062a\u0645\u0627\u0639\u064a)": 4,
"Speech Sound Disorder (\u0645\u062e\u0627\u0631\u062c \u0627\u0644\u062d\u0631\u0648\u0641)": 5
},
"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": "single_label_classification",
"tie_word_embeddings": true,
"transformers_version": "5.0.0",
"type_vocab_size": 2,
"use_cache": false,
"vocab_size": 100000
}
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