Automatic Speech Recognition
Transformers
Oriya
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use varunril/odia_transcript_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use varunril/odia_transcript_generation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="varunril/odia_transcript_generation")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("varunril/odia_transcript_generation") model = AutoModelForCTC.from_pretrained("varunril/odia_transcript_generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from varunril/odia_transcript_generation: direct link, hf CLI and curl.
- Browser
- Download file 727 Bytes
-
https://huggingface.co/varunril/odia_transcript_generation/resolve/main/vocab.json
- Command line
-
hf download hf://varunril/odia_transcript_generation/vocab.json
-
curl -L -o vocab.json https://huggingface.co/varunril/odia_transcript_generation/resolve/main/vocab.json
727 Bytes
| {"ପ": 0, "ଣ": 1, "ି": 2, "ଟ": 3, "ଥ": 4, "ୂ": 5, "ଡ": 6, "ଋ": 7, "ଏ": 8, "ଔ": 9, "ଘ": 10, "ଠ": 11, "ଈ": 12, "ୋ": 13, "ଝ": 14, "ଆ": 15, "ତ": 16, "ର": 17, "ୈ": 18, "ହ": 19, "ବ": 20, "କ": 21, "ୃ": 22, "ଯ": 23, "ଞ": 24, "ଳ": 25, "ଉ": 26, "ଇ": 27, "ଅ": 28, "ଷ": 29, "ଜ": 30, ".": 31, "ଛ": 32, "ଭ": 33, "ା": 34, "ୌ": 35, "ଦ": 36, "ଂ": 37, "ୀ": 38, "ଶ": 39, "ଧ": 40, "ଗ": 41, "ଃ": 42, "ୱ": 43, "ଙ": 44, "଼": 45, "ୁ": 46, "ଖ": 47, "ମ": 48, "ଁ": 49, "ଚ": 50, "ୟ": 51, "ସ": 52, "ଵ": 53, "ଊ": 54, "ଫ": 55, "େ": 56, "ଓ": 57, "ଢ": 58, "ଢ଼": 59, "ନ": 60, "ଲ": 62, "ଡ଼": 63, "୍": 64, "|": 61, "[UNK]": 65, "[PAD]": 66} |