Instructions to use yarik921/Teflon_0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yarik921/Teflon_0.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="yarik921/Teflon_0.2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("yarik921/Teflon_0.2") model = AutoModelForCTC.from_pretrained("yarik921/Teflon_0.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from yarik921/Teflon_0.2: direct link, hf CLI and curl.
- Browser
- Download file 211 Bytes
-
https://huggingface.co/yarik921/Teflon_0.2/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://yarik921/Teflon_0.2/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/yarik921/Teflon_0.2/resolve/main/tokenizer_config.json
211 Bytes
| { | |
| "bos_token" : "<s>", | |
| "do_lower_case" : true, | |
| "eos_token" : "</s>", | |
| "pad_token" : "<pad>", | |
| "tokenizer_class" : "Wav2Vec2CTCTokenizer", | |
| "unk_token" : "<unk>", | |
| "word_delimiter_token" : "|" | |
| } | |