Instructions to use arham6/tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arham6/tmp with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-llm-7b-chat") model = PeftModel.from_pretrained(base_model, "arham6/tmp") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 5854d123767206fa3557fc05081c4e04af1f2507ab4eeb6decf0b11cd25d0d56
- Size of remote file:
- 600 MB
- SHA256:
- fe9cb96d5770098154f0e1e98de3e31b1a260844a3270c298c892ea4e50cdac6
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