Instructions to use speechbrain/m-ctc-t-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use speechbrain/m-ctc-t-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="speechbrain/m-ctc-t-large")# Load model directly from transformers import AutoModelForCTC model = AutoModelForCTC.from_pretrained("speechbrain/m-ctc-t-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "<pad>", "do_lower_case": false, "word_delimiter_token": "|", "replace_word_delimiter_char": " ", "return_attention_mask": false, "do_normalize": true, "special_tokens_map_file": "./mctc-large/special_tokens_map.json", "name_or_path": "./mctc-large", "tokenizer_class": "Wav2Vec2CTCTokenizer"} |