Automatic Speech Recognition
Transformers
Safetensors
Amharic
wav2vec2-bert
amharic
speech-recognition
ctc
leyu
Instructions to use caesar-abrham/Chaka-ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use caesar-abrham/Chaka-ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="caesar-abrham/Chaka-ASR")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("caesar-abrham/Chaka-ASR") model = AutoModelForCTC.from_pretrained("caesar-abrham/Chaka-ASR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from caesar-abrham/Chaka-ASR: direct link, hf CLI and curl.
- Browser
- Download file 1.41 kB
-
https://huggingface.co/caesar-abrham/Chaka-ASR/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://caesar-abrham/Chaka-ASR/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/caesar-abrham/Chaka-ASR/resolve/main/tokenizer_config.json
1.41 kB
| { | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "|", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "407": { | |
| "content": "[UNK]", | |
| "lstrip": true, | |
| "normalized": false, | |
| "rstrip": true, | |
| "single_word": false, | |
| "special": false | |
| }, | |
| "408": { | |
| "content": "[PAD]", | |
| "lstrip": true, | |
| "normalized": false, | |
| "rstrip": true, | |
| "single_word": false, | |
| "special": false | |
| }, | |
| "409": { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "410": { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "backend": "custom", | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": false, | |
| "do_lower_case": false, | |
| "eos_token": "</s>", | |
| "is_local": false, | |
| "local_files_only": true, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "model_specific_special_tokens": { | |
| "word_delimiter_token": "|" | |
| }, | |
| "pad_token": "[PAD]", | |
| "processor_class": "Wav2Vec2BertProcessor", | |
| "replace_word_delimiter_char": " ", | |
| "target_lang": null, | |
| "tokenizer_class": "Wav2Vec2CTCTokenizer", | |
| "unk_token": "[UNK]", | |
| "word_delimiter_token": "|" | |
| } | |