Instructions to use konszvi/granite-speech-4.1-2b-plus2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use konszvi/granite-speech-4.1-2b-plus2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="konszvi/granite-speech-4.1-2b-plus2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("konszvi/granite-speech-4.1-2b-plus2") model = AutoModelForSpeechSeq2Seq.from_pretrained("konszvi/granite-speech-4.1-2b-plus2") - Notebooks
- Google Colab
- Kaggle
File size: 561 Bytes
c1e3eca | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"add_prefix_space": false,
"audio_token": "<|audio|>",
"backend": "tokenizers",
"bos_token": "<|end_of_text|>",
"clean_up_tokenization_spaces": false,
"eos_token": "<|end_of_text|>",
"errors": "replace",
"is_local": true,
"local_files_only": false,
"model_max_length": 1000000000000000019884624838656,
"model_specific_special_tokens": {
"audio_token": "<|audio|>"
},
"pad_token": "<|pad|>",
"padding_side": "left",
"processor_class": "GraniteSpeechProcessor",
"tokenizer_class": "GPT2Tokenizer",
"unk_token": "<|unk|>"
}
|