Instructions to use Atmanstr/Flan-Summarybot-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Atmanstr/Flan-Summarybot-finetuned with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-large") model = PeftModel.from_pretrained(base_model, "Atmanstr/Flan-Summarybot-finetuned") - Transformers
How to use Atmanstr/Flan-Summarybot-finetuned with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Atmanstr/Flan-Summarybot-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5df5f461e7d20918543832ebb8c1997dc18b64f34c780b512e6e1ac306ab2635
- Size of remote file:
- 9.48 MB
- SHA256:
- eb2e53b213799f25174dea4b9bc3464726851399ab622f683f51d243b639c805
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