Instructions to use vignesh0007/Hubermangpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vignesh0007/Hubermangpt 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, "vignesh0007/Hubermangpt") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vignesh0007/Hubermangpt: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/vignesh0007/Hubermangpt/resolve/main/training_args.bin
- Command line
-
hf download hf://vignesh0007/Hubermangpt/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vignesh0007/Hubermangpt/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 1a4a01bc716ee15f2e493aa31324a7251b39c6338ec25b567895422360dd0c7c
- Size of remote file:
- 5.3 kB
- SHA256:
- c1abdcceb646a74753c72de3cf23e5ab1ff2370fd0263917c7f8119f67521009
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