Instructions to use ybelkada/hubert-tiny-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ybelkada/hubert-tiny-random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ybelkada/hubert-tiny-random")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("ybelkada/hubert-tiny-random") model = AutoModel.from_pretrained("ybelkada/hubert-tiny-random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 531 Bytes
6f02d4c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"bos_token": "<s>",
"do_lower_case": false,
"eos_token": "</s>",
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<pad>",
"processor_class": "Wav2Vec2Processor",
"replace_word_delimiter_char": " ",
"special_tokens_map_file": "/home/younes_huggingface_co/.cache/huggingface/hub/models--facebook--hubert-large-ls960-ft/snapshots/ece5fabbf034c1073acae96d5401b25be96709d8/special_tokens_map.json",
"tokenizer_class": "Wav2Vec2CTCTokenizer",
"unk_token": "<unk>",
"word_delimiter_token": "|"
}
|