Instructions to use HanningHanning/imdb-lora-0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HanningHanning/imdb-lora-0.1 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-0.1") - Transformers
How to use HanningHanning/imdb-lora-0.1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HanningHanning/imdb-lora-0.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15562047aadadeb0c4d8a1b166c37ce1cf4cb9e599744444e86073b9b7eea30b
- Size of remote file:
- 5.91 kB
- SHA256:
- a44bcb960a5f873752a3a295a80d7f07c72030bff20a165497877ed97d2c6d1e
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