Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Hindi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use bimamuhammad/lang_transcribe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bimamuhammad/lang_transcribe with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bimamuhammad/lang_transcribe")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bimamuhammad/lang_transcribe") model = AutoModelForSpeechSeq2Seq.from_pretrained("bimamuhammad/lang_transcribe", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from bimamuhammad/lang_transcribe: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/bimamuhammad/lang_transcribe/resolve/main/training_args.bin
- Command line
-
hf download hf://bimamuhammad/lang_transcribe/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bimamuhammad/lang_transcribe/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 0f29bb76624805e29837032e62add60285c391fabc83e4fe6d4c4f3b020302ee
- Size of remote file:
- 5.3 kB
- SHA256:
- 8c914316e1a52a60a60d6531ec515c39f9dc7cee084a0af3a2163a17d273fdb1
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