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 training_args.bin from Achitha/10th_science_ta_to_eng: direct link, hf CLI and curl.
- Browser
- Download file 3.71 kB
-
https://huggingface.co/Achitha/10th_science_ta_to_eng/resolve/main/training_args.bin
- Command line
-
hf download hf://Achitha/10th_science_ta_to_eng/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Achitha/10th_science_ta_to_eng/resolve/main/training_args.bin
3.71 kB
- Xet hash:
- 10a911043c4c956c3934c590567eeca7feb8f96bd8ffc764a6453882e1df7e7e
- Size of remote file:
- 3.71 kB
- SHA256:
- 94ea15f25101eab211bdd105e6e8f5cdc3034d48f55d4dff65b693aaa72ade6b
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