Instructions to use facebook/data2vec-audio-large-100h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/data2vec-audio-large-100h with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/data2vec-audio-large-100h")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCTC tokenizer = AutoTokenizer.from_pretrained("facebook/data2vec-audio-large-100h") model = AutoModelForCTC.from_pretrained("facebook/data2vec-audio-large-100h", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from facebook/data2vec-audio-large-100h: direct link, hf CLI and curl.
- Browser
- Download file 85 Bytes
-
https://huggingface.co/facebook/data2vec-audio-large-100h/resolve/refs%2Fpr%2F1/special_tokens_map.json
- Command line
-
hf download hf://facebook/data2vec-audio-large-100h@refs/pr/1/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/facebook/data2vec-audio-large-100h/resolve/refs%2Fpr%2F1/special_tokens_map.json
85 Bytes
| {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"} |