Instructions to use HugManish22/mbgpt-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HugManish22/mbgpt-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, "HugManish22/mbgpt-ft") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from HugManish22/mbgpt-ft: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/HugManish22/mbgpt-ft/resolve/main/training_args.bin
- Command line
-
hf download hf://HugManish22/mbgpt-ft/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/HugManish22/mbgpt-ft/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- c400019d0a28b81f8fc9e8618b467ea412f4d81317472b03b038804129f58fe4
- Size of remote file:
- 5.11 kB
- SHA256:
- 49cfc1a4f034c565c0b9ed236e0b38d9a470147712e5294bc232641072aed54c
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