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:
- 0c0909535fa269257a556444003e781e77fceb418750c6eaa772fa2b38f2c01d
- Size of remote file:
- 5.43 kB
- SHA256:
- a6589591645ad6f64b94eaf2f3f70a613f2757f2d9afc0e2341ee8a446ea3f74
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