Instructions to use hiba2/results_pegasus2-_wiki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hiba2/results_pegasus2-_wiki with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hiba2/results_pegasus2-_wiki") model = AutoModelForSeq2SeqLM.from_pretrained("hiba2/results_pegasus2-_wiki", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 430b5e6861e05d410e1aa79727352c7add3fba3d08c4ff86f1df0f0c81f663f9
- Size of remote file:
- 5.3 kB
- SHA256:
- dbdb49b9ea134522744de9a8f4545adafc8ebd274fee314d8009ac75d2eae263
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