Instructions to use ndevavarapu/utterance_gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ndevavarapu/utterance_gen with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ndevavarapu/utterance_gen") model = AutoModelForSeq2SeqLM.from_pretrained("ndevavarapu/utterance_gen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7cc93ff3e145c3a08ad47a389acb307073eb756eeec96eb54423252b84bf7427
- Size of remote file:
- 892 MB
- SHA256:
- 0b4283b7615704319a6f69d29e5886f2ccc797a735430a82eaddc6719fec06b1
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