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:
- 96878ec2cfff93f60ab48a7e81958a44710292e051733ce6ee0fe71bf14b7ddf
- Size of remote file:
- 2.95 GB
- SHA256:
- ac7c442cf711ed668ded5c852a3e6fad98b3f73beef9fa0d20a8f4994b4811eb
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