Instructions to use phuongntc/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use phuongntc/results with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/pegasus-cnn_dailymail") model = PeftModel.from_pretrained(base_model, "phuongntc/results") - Transformers
How to use phuongntc/results with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("phuongntc/results", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55f21cd07c01dbc516881febaff1d66b356b697e9acc0bb1a60776223300d4a2
- Size of remote file:
- 1.91 MB
- SHA256:
- 0015189ef36359283fec8b93cf6d9ce51bca37eb1101defc68a53b394913b96c
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