Instructions to use tripplyons/LaMini-Flan-T5-248M-summarize-from-feedback with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tripplyons/LaMini-Flan-T5-248M-summarize-from-feedback with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("MBZUAI/LaMini-Flan-T5-248M") model = PeftModel.from_pretrained(base_model, "tripplyons/LaMini-Flan-T5-248M-summarize-from-feedback") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from tripplyons/LaMini-Flan-T5-248M-summarize-from-feedback: direct link, hf CLI and curl.
- Browser
- Download file 3.59 MB
-
https://huggingface.co/tripplyons/LaMini-Flan-T5-248M-summarize-from-feedback/resolve/main/adapter_model.bin
- Command line
-
hf download hf://tripplyons/LaMini-Flan-T5-248M-summarize-from-feedback/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/tripplyons/LaMini-Flan-T5-248M-summarize-from-feedback/resolve/main/adapter_model.bin
3.59 MB
- Xet hash:
- 00ebb9ac880b7821bead3713a4cb155443c19c05ad688a87b68aa16db24e19b2
- Size of remote file:
- 3.59 MB
- SHA256:
- b3bab2e0a805287ec681703b380311180350227a3fe4980a7c4e4d84502b9ce8
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