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 tokenizer_config.json from Splend1dchan/wav2vec2-large-lv60_mt5lephone-small_textdecoderonly_bs64: direct link, hf CLI and curl.
- Browser
- Download file 418 Bytes
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https://huggingface.co/Splend1dchan/wav2vec2-large-lv60_mt5lephone-small_textdecoderonly_bs64/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Splend1dchan/wav2vec2-large-lv60_mt5lephone-small_textdecoderonly_bs64/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/Splend1dchan/wav2vec2-large-lv60_mt5lephone-small_textdecoderonly_bs64/resolve/main/tokenizer_config.json
418 Bytes
| {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 0, "additional_special_tokens": null, "special_tokens_map_file": "/home/twskvfb446/.cache/huggingface/transformers/685ac0ca8568ec593a48b61b0a3c272beee9bc194a3c7241d15dcadb5f875e53.f76030f3ec1b96a8199b2593390c610e76ca8028ef3d24680000619ffb646276", "name_or_path": "google/mt5-small", "sp_model_kwargs": {}, "tokenizer_class": "T5Tokenizer"} |