Instructions to use awacke1/autotrain-livespeechrecognitiontrainingmodelforautotrain-1786761991 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use awacke1/autotrain-livespeechrecognitiontrainingmodelforautotrain-1786761991 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="awacke1/autotrain-livespeechrecognitiontrainingmodelforautotrain-1786761991")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("awacke1/autotrain-livespeechrecognitiontrainingmodelforautotrain-1786761991", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9319059a988b961c5206ee852816198a6362500aa7ca88250c239bca1a6c2823
- Size of remote file:
- 2.35 kB
- SHA256:
- 7ae94851152c997181d9c058e4c29a44800b5f8bde641d2db8ed8f01ae61714d
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