Instructions to use Splend1dchan/wav2vec2-large-lv60_mt5lephone-small_textdecoderonly_bs64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Splend1dchan/wav2vec2-large-lv60_mt5lephone-small_textdecoderonly_bs64 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import SpeechMixEEDT5 model = SpeechMixEEDT5.from_pretrained("Splend1dchan/wav2vec2-large-lv60_mt5lephone-small_textdecoderonly_bs64", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download predictions-81036_fromhf_largebatch.csv from Splend1dchan/wav2vec2-large-lv60_mt5lephone-small_textdecoderonly_bs64: direct link, hf CLI and curl.
- Browser
- Download file 2.17 MB
-
https://huggingface.co/Splend1dchan/wav2vec2-large-lv60_mt5lephone-small_textdecoderonly_bs64/resolve/main/predictions-81036_fromhf_largebatch.csv
- Command line
-
hf download hf://Splend1dchan/wav2vec2-large-lv60_mt5lephone-small_textdecoderonly_bs64/predictions-81036_fromhf_largebatch.csv
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curl -L -o predictions-81036_fromhf_largebatch.csv https://huggingface.co/Splend1dchan/wav2vec2-large-lv60_mt5lephone-small_textdecoderonly_bs64/resolve/main/predictions-81036_fromhf_largebatch.csv
2.17 MB
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