Instructions to use H83/PHI_medium-4bnb-TimeCoder_30_steps_2_batchsize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use H83/PHI_medium-4bnb-TimeCoder_30_steps_2_batchsize with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("H83/PHI_medium-4bnb-TimeCoder_30_steps_2_batchsize", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76110314d7d198e2d178ae544b8e026c7760c9d2afa65744ee14efaa5f0abb33
- Size of remote file:
- 1.01 GB
- SHA256:
- d685f0bac52147864636724878463e24ff3ea1fb39cac7670d8b3e315c18ac9a
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