Instructions to use ZhiguangHan/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZhiguangHan/output with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ZhiguangHan/output") model = AutoModelForSeq2SeqLM.from_pretrained("ZhiguangHan/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 892162f9c522b7ad789c7897398a7a7fe6a6ed335f279bef9f0e9d36c6d7c968
- Size of remote file:
- 1.19 GB
- SHA256:
- 7c6e31d3a758e0f841383ea98a5ff8402271d49195e8177df61271f64bde8e54
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