Instructions to use areddyyt/printinx-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use areddyyt/printinx-ft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.2-GPTQ") model = PeftModel.from_pretrained(base_model, "areddyyt/printinx-ft") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from areddyyt/printinx-ft: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/areddyyt/printinx-ft/resolve/main/training_args.bin
- Command line
-
hf download hf://areddyyt/printinx-ft/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/areddyyt/printinx-ft/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- 7556fc74fe4c016b761eeb24b6a42c909f82a370d40cc397cf1105e731e59ec5
- Size of remote file:
- 4.86 kB
- SHA256:
- 4d8c20c8ee46037739db363d10788e15ae659269d80b536f45f71ae03bb1a380
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