Instructions to use Achitha/simple_tamil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Achitha/simple_tamil with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Achitha/simple_tamil")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Achitha/simple_tamil") model = AutoModelForSpeechSeq2Seq.from_pretrained("Achitha/simple_tamil", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.9d624dd
-
update model card README.md
ebed910 -
Model save
df38c8b -
Training in progress, step 3000
043df50 -
update model card README.md
bb50d1c -
Model save
6b40e8d -
Training in progress, step 2000
e919564 -
update model card README.md
2f7b784 -
Model save
d30b9d0 -
Training in progress, step 1000
21da90c -
update model card README.md
c0d5a23 -
End of training
6882a58 -
update model card README.md
fc3347c -
End of training
3d38f9d -
initial commit
cbe5596