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
fp8
compressed-tensors
llm-compressor
Instructions to use IFM/Jais-ASR-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IFM/Jais-ASR-FP8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="IFM/Jais-ASR-FP8", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("IFM/Jais-ASR-FP8", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 335 Bytes
72b5b09 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"dither": 0.0,
"feature_extractor_type": "WhisperFeatureExtractor",
"feature_size": 128,
"hop_length": 160,
"n_fft": 400,
"n_samples": 4800000,
"nb_max_frames": 30000,
"padding_side": "right",
"padding_value": 0.0,
"processor_class": "JaisASRProcessor",
"return_attention_mask": true,
"sampling_rate": 16000
} |