Instructions to use basilkr/Bleu_error with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use basilkr/Bleu_error with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="basilkr/Bleu_error")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("basilkr/Bleu_error") model = AutoModelForSpeechSeq2Seq.from_pretrained("basilkr/Bleu_error") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8943c2634fa4455e82751ab132a3a65690502606d610cb29c807f9247b2c58f
- Size of remote file:
- 3.77 kB
- SHA256:
- 885310b6e901e39cf69f7ac08a675ddca1269439cab9b5447f64f39670e0b1ee
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