Instructions to use ahmetca01/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ahmetca01/model with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("openbmb/MiniCPM-2B-sft-bf16") model = PeftModel.from_pretrained(base_model, "ahmetca01/model") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ahmetca01/model: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/ahmetca01/model/resolve/main/training_args.bin
- Command line
-
hf download hf://ahmetca01/model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ahmetca01/model/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- cc1e3fbfe1d640189cbfca1b7d324e6aface73c5523798e98ca9312b930ea482
- Size of remote file:
- 5.78 kB
- SHA256:
- 57340fd0e9ac7178df8463129f6da9dc0ddfa5dabf610b86b2c15abf452f4ece
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