Instructions to use ashesicsis1/lv60-languageModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashesicsis1/lv60-languageModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ashesicsis1/lv60-languageModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ashesicsis1/lv60-languageModel") model = AutoModelForCTC.from_pretrained("ashesicsis1/lv60-languageModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download alphabet.json from ashesicsis1/lv60-languageModel: direct link, hf CLI and curl.
- Browser
- Download file 243 Bytes
-
https://huggingface.co/ashesicsis1/lv60-languageModel/resolve/main/alphabet.json
- Command line
-
hf download hf://ashesicsis1/lv60-languageModel/alphabet.json
-
curl -L -o alphabet.json https://huggingface.co/ashesicsis1/lv60-languageModel/resolve/main/alphabet.json
243 Bytes
| {"labels": [" ", "0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z", "\u2047", "", "<s>", "</s>"], "is_bpe": false} |