Instructions to use ppang/model5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ppang/model5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ppang/model5") model = AutoModelForSeq2SeqLM.from_pretrained("ppang/model5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ee01fa8513943db85c02ffbd2b466dd89f423f29c7d7d5932ecf9ed07d09ffb
- Size of remote file:
- 892 MB
- SHA256:
- 36091a14fbb5dfd0b0ecea20304df319f7ff92ae1044f120322461bf929d844f
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