Automatic Speech Recognition
Transformers
Safetensors
Kalenjin
parakeet_tdt
feature-extraction
kalenjin
kipsigis
nandi
low-resource
african-languages
parakeet
fastconformer
tdt
fine-tune
Eval Results (legacy)
Instructions to use Tonykip/parakeet-tdt-0.6b-kalenjin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tonykip/parakeet-tdt-0.6b-kalenjin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Tonykip/parakeet-tdt-0.6b-kalenjin")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tonykip/parakeet-tdt-0.6b-kalenjin", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "backend": "tokenizers", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|endoftext|>", | |
| "pad_token": "<pad>", | |
| "unk_token": "<unk>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "processor_class": "ParakeetProcessor", | |
| "tokenizer_class": "ParakeetTokenizer" | |
| } |