Instructions to use HuyenNguyen/Wav2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuyenNguyen/Wav2vec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="HuyenNguyen/Wav2vec")# Load model directly from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq tokenizer = AutoTokenizer.from_pretrained("HuyenNguyen/Wav2vec") model = AutoModelForSpeechSeq2Seq.from_pretrained("HuyenNguyen/Wav2vec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 2, | |
| "eos_token_id": 2, | |
| "forced_eos_token_id": 2, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.30.2" | |
| } | |