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
| { | |
| "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 | |
| } | |