Automatic Speech Recognition
PEFT
Safetensors
Transformers
Nepali
English
whisper
nepali
english
code-switching
lora
Instructions to use DontHash/neptrans-v4-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DontHash/neptrans-v4-lora with PEFT:
Task type is invalid.
- Transformers
How to use DontHash/neptrans-v4-lora with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="DontHash/neptrans-v4-lora")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DontHash/neptrans-v4-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from DontHash/neptrans-v4-lora: direct link, hf CLI and curl.
- Browser
- Download file 3.93 MB
-
https://huggingface.co/DontHash/neptrans-v4-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://DontHash/neptrans-v4-lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/DontHash/neptrans-v4-lora/resolve/main/tokenizer.json
3.93 MB
File too large to display, you can check the raw version instead.