Automatic Speech Recognition
Transformers
Safetensors
English
whisper
child-speech
model-merging
compositional-domain-adaptation
07_scaling_laws
headwise-selective-attention
Instructions to use balaji1312/whisper_base_hsa_k60_spon_3_5_script_0_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use balaji1312/whisper_base_hsa_k60_spon_3_5_script_0_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="balaji1312/whisper_base_hsa_k60_spon_3_5_script_0_2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("balaji1312/whisper_base_hsa_k60_spon_3_5_script_0_2") model = AutoModelForSpeechSeq2Seq.from_pretrained("balaji1312/whisper_base_hsa_k60_spon_3_5_script_0_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle