Instructions to use rajat99/Fine_Tuning_XLSR_300M_testing_4_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rajat99/Fine_Tuning_XLSR_300M_testing_4_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rajat99/Fine_Tuning_XLSR_300M_testing_4_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("rajat99/Fine_Tuning_XLSR_300M_testing_4_model") model = AutoModelForCTC.from_pretrained("rajat99/Fine_Tuning_XLSR_300M_testing_4_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
05a0e2d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:39f5448df8453eb4ef5265a3c59538608157b991bf30f60565bf5660d0a43ddd
size 1262202481
|