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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08119380d7793e318761d12e354e9445f4e4f63eaf3d4b09402645f36b72c766
- Size of remote file:
- 6.17 GB
- SHA256:
- 23286af0757226baca4bf4e018428b9e522a0b53c2bb6d30f2deb0597a6caf83
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