Automatic Speech Recognition
Transformers
Safetensors
PyTorch
English
whisper
speech
audio
fine-tuning
huggingface
deep-learning
asr
Instructions to use DBGad/Meezan-ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DBGad/Meezan-ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="DBGad/Meezan-ASR")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("DBGad/Meezan-ASR") model = AutoModelForSpeechSeq2Seq.from_pretrained("DBGad/Meezan-ASR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from DBGad/Meezan-ASR: direct link, hf CLI and curl.
- Browser
- Download file 3.93 MB
-
https://huggingface.co/DBGad/Meezan-ASR/resolve/main/tokenizer.json
- Command line
-
hf download hf://DBGad/Meezan-ASR/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/DBGad/Meezan-ASR/resolve/main/tokenizer.json
3.93 MB
File too large to display, you can check the raw version instead.