Instructions to use BKM1804/39a9ebe5-4a9d-493a-b896-19d5405042bf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BKM1804/39a9ebe5-4a9d-493a-b896-19d5405042bf with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BKM1804/39a9ebe5-4a9d-493a-b896-19d5405042bf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa275727746deac61e197a01f1c186e79a31709e4bd5b6561e9e8e73824006e0
- Size of remote file:
- 591 MB
- SHA256:
- 214993277062fe740b4ad314d4caa907a69f6931396144f2254a590b35c4d32a
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