Instructions to use H83/PHI_medium-4bnb-TimeCoder_540_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_540_steps_2_batchsize with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("H83/PHI_medium-4bnb-TimeCoder_540_steps_2_batchsize", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb8496b80dcc3a4260525b394f9a5259a1f70359827d4bef7e325d78c179f23a
- Size of remote file:
- 1.01 GB
- SHA256:
- db27efd6304698c5bde693bf6a3a8be4a2e5873f47ce63020beed03ad084d913
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