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
Download generation_config.json from IFM/Jais-ASR-FP8: direct link, hf CLI and curl.
- Browser
- Download file 241 Bytes
-
https://huggingface.co/IFM/Jais-ASR-FP8/resolve/main/generation_config.json
- Command line
-
hf download hf://IFM/Jais-ASR-FP8/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/IFM/Jais-ASR-FP8/resolve/main/generation_config.json
241 Bytes
| { | |
| "bos_token_id": 0, | |
| "do_sample": false, | |
| "eos_token_id": [ | |
| 1, | |
| 250019 | |
| ], | |
| "max_new_tokens": 256, | |
| "num_beams": 1, | |
| "pad_token_id": 0, | |
| "repetition_penalty": 1.05, | |
| "temperature": 1.0, | |
| "transformers_version": "5.13.0" | |
| } | |