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 language_model/5gram.bin from ashesicsis1/lv60-languageModel: direct link, hf CLI and curl.
- Browser
- Download file 3.92 GB
-
https://huggingface.co/ashesicsis1/lv60-languageModel/resolve/main/language_model/5gram.bin
- Command line
-
hf download hf://ashesicsis1/lv60-languageModel/language_model/5gram.bin
-
curl -L -o 5gram.bin https://huggingface.co/ashesicsis1/lv60-languageModel/resolve/main/language_model/5gram.bin
3.92 GB
- Xet hash:
- 787972f1db2416617e16cde3cd3dd1591cdad28340be8834ea2daefc62f19ae4
- Size of remote file:
- 3.92 GB
- SHA256:
- b2b15c479141d06a5fab8b50378663dd55aecb5f38a028c9a6777ee52307793c
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