Instructions to use hts98/temp1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hts98/temp1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hts98/temp1")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hts98/temp1") model = AutoModelForSpeechSeq2Seq.from_pretrained("hts98/temp1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
hts98/model_EF_1.1
Browse files- generation_config.json +1 -1
generation_config.json
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"transcribe": 50359,
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"translate": 50358
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},
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"transformers_version": "4.
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}
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"transcribe": 50359,
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"translate": 50358
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},
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"transformers_version": "4.29.0.dev0"
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}
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