Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Russian
gigaam-ctc
asr
gigaam
stt
ctc
audio
speech
custom_code
Instructions to use waveletdeboshir/gigaam-ctc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use waveletdeboshir/gigaam-ctc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="waveletdeboshir/gigaam-ctc", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("waveletdeboshir/gigaam-ctc", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
add AutoModelForCTC map
Browse files- config.json +1 -0
config.json
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"auto_map":{
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"AutoConfig": "gigaam_transformers.GigaAMConfig",
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"AutoModel": "gigaam_transformers.GigaAMCTCHF",
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"AutoProcessor": "gigaam_transformers.GigaAMProcessor",
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"AutoTokenizer": "gigaam_transformers.GigaAMCTCTokenizer",
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"AutoFeatureExtractor": "gigaam_transformers.GigaAMFeatureExtractor"
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"auto_map":{
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"AutoConfig": "gigaam_transformers.GigaAMConfig",
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"AutoModel": "gigaam_transformers.GigaAMCTCHF",
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"AutoModelForCTC": "gigaam_transformers.GigaAMCTCHF",
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"AutoProcessor": "gigaam_transformers.GigaAMProcessor",
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"AutoTokenizer": "gigaam_transformers.GigaAMCTCTokenizer",
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"AutoFeatureExtractor": "gigaam_transformers.GigaAMFeatureExtractor"
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