Instructions to use tabeehive/tabeehive-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tabeehive/tabeehive-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, "tabeehive/tabeehive-ft") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tabeehive/tabeehive-ft: direct link, hf CLI and curl.
- Browser
- Download file 5.65 kB
-
https://huggingface.co/tabeehive/tabeehive-ft/resolve/main/training_args.bin
- Command line
-
hf download hf://tabeehive/tabeehive-ft/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tabeehive/tabeehive-ft/resolve/main/training_args.bin
5.65 kB
- Xet hash:
- 3a4cfc2576e5abfb85a1c0a82f3e48bc77dc83d74ad9c77b69747adcb9fd5f04
- Size of remote file:
- 5.65 kB
- SHA256:
- 733b92a0cc12cfd6a9b7e7e5b9a04b697bc29edc87465832f28b3ec0b4051bbd
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