Instructions to use Fischerboot/InternLM2-ToxicRP-QLORA-4Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Fischerboot/InternLM2-ToxicRP-QLORA-4Bit with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("intervitens/internlm2-limarp-chat-20b") model = PeftModel.from_pretrained(base_model, "Fischerboot/InternLM2-ToxicRP-QLORA-4Bit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f30da2482982e56987e8c7f4ec39d6df7914bf86ca5221d596a85d86245bfadc
- Size of remote file:
- 1.48 MB
- SHA256:
- 0900749e0d05d0c0e553d5a3cb7ece0b58d481f4a31720dac0ec388ad94d19e6
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