Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Russian
gigaam-ctc
asr
gigaam
stt
ctc
audio
speech
custom_code
Instructions to use Den4ikAI/gigaam-ctc-whisperx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Den4ikAI/gigaam-ctc-whisperx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Den4ikAI/gigaam-ctc-whisperx", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Den4ikAI/gigaam-ctc-whisperx", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from Den4ikAI/gigaam-ctc-whisperx: direct link, hf CLI and curl.
- Browser
- Download file 30 Bytes
-
https://huggingface.co/Den4ikAI/gigaam-ctc-whisperx/resolve/main/added_tokens.json
- Command line
-
hf download hf://Den4ikAI/gigaam-ctc-whisperx/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/Den4ikAI/gigaam-ctc-whisperx/resolve/main/added_tokens.json
30 Bytes
| { | |
| "</s>": 35, | |
| "<s>": 34 | |
| } | |