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:
- 00c9f54c805755e33d21438dfb8430a7f32cd7e988f3077d49fe388e774c94bd
- Size of remote file:
- 17.2 MB
- SHA256:
- 7e96f010f34ad90ba80366b1e4a8249eda6fdd350f6538003a726be6bf23197f
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