Instructions to use HanningHanning/imdb-lora-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HanningHanning/imdb-lora-1.0 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("bert-base-uncased") model = PeftModel.from_pretrained(base_model, "HanningHanning/imdb-lora-1.0") - Transformers
How to use HanningHanning/imdb-lora-1.0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HanningHanning/imdb-lora-1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b11040904e902834ddebe849fa767f3ce33900cfdda4dca92a0738704f5f31af
- Size of remote file:
- 5.91 kB
- SHA256:
- 01d9130005eb32b66bd7d60a9ef7800fbc980fe7820e97e7da2310b3a710e0bb
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