Instructions to use KrorngAI/TrorYongASR-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KrorngAI/TrorYongASR-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="KrorngAI/TrorYongASR-small", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KrorngAI/TrorYongASR-small", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 659 Bytes
62dc600 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | {
"add_prefix_space": null,
"auto_map": {
"AutoTokenizer": [
"tokenization_troryongasr.TrorYongASRTokenizer",
null
]
},
"backend": "tokenizers",
"bos_token": "<s>",
"clean_up_tokenization_spaces": false,
"eos_token": "</s>",
"extra_special_tokens": [
"<|km|>",
"<|en|>",
"<|transcribe|>",
"<|translate|>",
"<|nospeech|>"
],
"is_local": false,
"model_max_length": 1000000000000000019884624838656,
"padding_side": "right",
"processor_class": "WhisperProcessor",
"sp_model_kwargs": {},
"tokenizer_class": "TrorYongASRTokenizer",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
|