Instructions to use raki440/Distillber_24_02_24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raki440/Distillber_24_02_24 with Transformers:
# Load model directly from transformers import AutoTokenizer, YourModelForTraining tokenizer = AutoTokenizer.from_pretrained("raki440/Distillber_24_02_24") model = YourModelForTraining.from_pretrained("raki440/Distillber_24_02_24", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 576a963204065f459545c209b48cb27537022fd0c03025a4c41a6311d1a9c2c7
- Size of remote file:
- 4.6 kB
- SHA256:
- af820a9c4a329938d7d518f3d294b0ede92770afe630aaa2f3930a4e1cab38cd
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