Instructions to use gorebradleyi/BitNetIR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gorebradleyi/BitNetIR with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/bitnet-b1.58-2B-4T-bf16") model = PeftModel.from_pretrained(base_model, "gorebradleyi/BitNetIR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 906f51c14566d4ad3079b8e6cc6fe32a844117cf79b83b22093fd2dbcdfb1e75
- Size of remote file:
- 5.3 kB
- SHA256:
- a9ab848c38f91f267894b48261b040fc5ce3c1c5cfe45c71acf16781e238db74
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