Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wavlm
phongdtd/VinDataVLSP
Generated from Trainer
Instructions to use phongdtd/wavLM-VLSP-vi-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phongdtd/wavLM-VLSP-vi-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="phongdtd/wavLM-VLSP-vi-base")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("phongdtd/wavLM-VLSP-vi-base") model = AutoModelForCTC.from_pretrained("phongdtd/wavLM-VLSP-vi-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from phongdtd/wavLM-VLSP-vi-base: direct link, hf CLI and curl.
- Browser
- Download file 442 Bytes
-
https://huggingface.co/phongdtd/wavLM-VLSP-vi-base/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://phongdtd/wavLM-VLSP-vi-base/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/phongdtd/wavLM-VLSP-vi-base/resolve/main/tokenizer_config.json
442 Bytes
| {"unk_token": "[UNK]", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "|", "special_tokens_map_file": "/home/khanhpluto/.cache/huggingface/transformers/eef53a602abb50f675493980adcc13e5db18ef9d58ca24e362ae6e2bd6a8a3c2.a21d51735cf8667bcd610f057e88548d5d6a381401f6b4501a8bc6c1a9dc8498", "name_or_path": "phongdtd/wavlm-base-plus-vindata", "tokenizer_class": "Wav2Vec2CTCTokenizer"} |