Instructions to use Phuoc/asr_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Phuoc/asr_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Phuoc/asr_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Phuoc/asr_model") model = AutoModelForCTC.from_pretrained("Phuoc/asr_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload pytorch_model.bin with git-lfs
6624335 -
Delete pytorch_model.bin
9e412d1
-
Upload vocab.json
6eeb32b -
Upload tokenizer_config.json
02b348c -
Upload special_tokens_map.json
a2c2f82 -
Upload preprocessor_config.json
66f714d -
Upload config.json
586c2d3 -
Upload vi_lm_4grams.bin.zip with git-lfs
8be313e -
Upload pytorch_model.bin with git-lfs
35950c4 -
initial commit
8692fe7