Automatic Speech Recognition
Transformers
Safetensors
jais_asr
text-generation
jais
ifm
arabic
arabic-dialects
speech-to-text
code-switching
diacritization
language-identification
open-weights
custom_code
Instructions to use IFM/Jais-ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IFM/Jais-ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="IFM/Jais-ASR", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("IFM/Jais-ASR", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from IFM/Jais-ASR: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/IFM/Jais-ASR/resolve/main/config.json
- Command line
-
hf download hf://IFM/Jais-ASR/config.json
-
curl -L -o config.json https://huggingface.co/IFM/Jais-ASR/resolve/main/config.json
2.99 kB
| { | |
| "architectures": [ | |
| "JaisASRForConditionalGeneration" | |
| ], | |
| "audio_config": { | |
| "activation_dropout": 0, | |
| "activation_function": "gelu", | |
| "attention_dropout": 0, | |
| "conv_chunksize": 500, | |
| "d_model": 1280, | |
| "downsample_hidden_size": 480, | |
| "dropout": 0, | |
| "dtype": "bfloat16", | |
| "encoder_attention_heads": 20, | |
| "encoder_ffn_dim": 5120, | |
| "encoder_layers": 32, | |
| "initializer_range": 0.02, | |
| "max_source_positions": 1500, | |
| "model_type": "qwen3_omni_moe_audio_encoder", | |
| "n_window": 50, | |
| "n_window_infer": 800, | |
| "num_mel_bins": 128, | |
| "output_dim": 2048, | |
| "scale_embedding": false, | |
| "tie_word_embeddings": true, | |
| "torch_dtype": "bfloat16" | |
| }, | |
| "audio_end_token_id": 250036, | |
| "audio_start_token_id": 250035, | |
| "audio_token_id": 250062, | |
| "auto_map": { | |
| "AutoConfig": "configuration_jais_asr.JaisASRConfig", | |
| "AutoModel": "modeling_jais_asr.JaisASRModel", | |
| "AutoModelForCausalLM": "modeling_jais_asr.JaisASRForConditionalGeneration", | |
| "AutoProcessor": "processing_jais_asr.JaisASRProcessor" | |
| }, | |
| "bos_token_id": 0, | |
| "custom_pipelines": { | |
| "automatic-speech-recognition": { | |
| "impl": "pipeline_jais_asr.JaisASRTranscriptionPipeline", | |
| "pt": [ | |
| "AutoModelForCausalLM" | |
| ], | |
| "tf": [] | |
| } | |
| }, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 1, | |
| "model_type": "jais_asr", | |
| "pad_token_id": 0, | |
| "projector_hidden_act": "gelu", | |
| "text_config": { | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 0, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 1, | |
| "head_dim": 128, | |
| "hidden_act": "silu", | |
| "hidden_size": 2560, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 10240, | |
| "layernorm_num_groups": 2, | |
| "max_position_embeddings": 524288, | |
| "model_type": "k2_horizon", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 36, | |
| "num_key_value_heads": 8, | |
| "pad_token_id": 0, | |
| "query_key_norm": false, | |
| "rms_norm_eps": 1e-06, | |
| "rope_head_dim": 128, | |
| "rope_parameters": { | |
| "rope_theta": 10000000.0, | |
| "rope_type": "default" | |
| }, | |
| "rope_theta": 10000000.0, | |
| "sliding_window": null, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "bfloat16", | |
| "use_cache": true, | |
| "use_sliding_window": false, | |
| "vocab_size": 250624, | |
| "num_experts": 0, | |
| "num_experts_per_tok": 0, | |
| "num_shared_experts": 0, | |
| "mova_num_experts": 0, | |
| "mova_num_experts_per_tok": 0, | |
| "moe_intermediate_size": 0, | |
| "attention_gate_func": null, | |
| "mlp_only_layers": [ | |
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| ] | |
| }, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "5.5.4" | |
| } | |