Instructions to use Achitha/10th_science_ta_to_eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Achitha/10th_science_ta_to_eng with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Achitha/10th_science_ta_to_eng")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Achitha/10th_science_ta_to_eng") model = AutoModelForSpeechSeq2Seq.from_pretrained("Achitha/10th_science_ta_to_eng", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Achitha/10th_science_ta_to_eng: direct link, hf CLI and curl.
- Browser
- Download file 290 MB
-
https://huggingface.co/Achitha/10th_science_ta_to_eng/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Achitha/10th_science_ta_to_eng/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Achitha/10th_science_ta_to_eng/resolve/main/pytorch_model.bin
290 MB
- Xet hash:
- 6b5db3eebac89e3d7c6d68d0d86ff0c899758e98e6b49704e4191988198b5ff5
- Size of remote file:
- 290 MB
- SHA256:
- c95fa4485d235d1acc1a4a4835319da6324ab9914d60a2808c471781dd96693a
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