Instructions to use Hugging-GK/multi_label_LoRA_weights_test_small_sample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hugging-GK/multi_label_LoRA_weights_test_small_sample with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Hugging-GK/multi_label_LoRA_weights_test_small_sample", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee81862b1539869168afc99b33d00a4917066935f57bcda49d0a0667b847f003
- Size of remote file:
- 558 MB
- SHA256:
- 3bd7ab92ffda63cd62bec199ad4e200fdccc8642dc3234dbb68ffdb64edb674b
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