Instructions to use ShivMoh/user_0_5_repeat_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShivMoh/user_0_5_repeat_4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShivMoh/user_0_5_repeat_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19aeb1a2c4c81facb75957b256eb1423977f3611b509b048fe6b58ba94bc8b21
- Size of remote file:
- 6.26 kB
- SHA256:
- 7b1aef527d7b91002d386f89b156ee7b62f0ae9b53762a8db9b6ce60d0f6f559
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