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 export_provenance.json from DontHash/neptrans-v4-lora: direct link, hf CLI and curl.
- Browser
- Download file 462 Bytes
-
https://huggingface.co/DontHash/neptrans-v4-lora/resolve/main/export_provenance.json
- Command line
-
hf download hf://DontHash/neptrans-v4-lora/export_provenance.json
-
curl -L -o export_provenance.json https://huggingface.co/DontHash/neptrans-v4-lora/resolve/main/export_provenance.json
462 Bytes
| { | |
| "version": "v4", | |
| "source_archive_sha256": "cffdbb8c85487615dbeb9d889389ad41f8202474201dec8b4ba69abdfc4373a9", | |
| "adapter_sha256": "4881d6ae0d45c7202959f86ffbf2c1b0b5170830eec50d7236e3122f6787bf6d", | |
| "base_model": "openai/whisper-large-v3", | |
| "base_revision": "06f233fe06e710322aca913c1bc4249a0d71fce1", | |
| "quantization": null, | |
| "model_bin_sha256": "638febf26cc2a7cc6330eb2b56cd84f820928cdda091049e41086f2a80d0fc43", | |
| "artifact_type": "lora" | |
| } | |