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
| { | |
| "vocab_size": 2051, | |
| "blank_token_id": 2050, | |
| "pad_token_id": 1, | |
| "unk_token_id": 0, | |
| "eos_token_id": 2, | |
| "decoder_start_token_id": 2050, | |
| "durations": [ | |
| 0, | |
| 1, | |
| 2, | |
| 3, | |
| 4 | |
| ], | |
| "n_word_pieces": 2046, | |
| "kept_specials": [ | |
| "<unk>", | |
| "<pad>", | |
| "<|endoftext|>", | |
| "<|startoftranscript|>", | |
| "<blank>" | |
| ] | |
| } |