Instructions to use deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ybelkada/falcon-7b-sharded-bf16") model = PeftModel.from_pretrained(base_model, "deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion2") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion2: direct link, hf CLI and curl.
- Browser
- Download file 261 MB
-
https://huggingface.co/deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion2/resolve/main/adapter_model.bin
- Command line
-
hf download hf://deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion2/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion2/resolve/main/adapter_model.bin
261 MB
- Xet hash:
- 5792a51c881fe0228a8e935ae6531327a4673d32b8a63502a7c300f61839f6f0
- Size of remote file:
- 261 MB
- SHA256:
- 917f9c8fe3812cd2e33be2c58112dd41239d82f94667805e6858f6dc0e75ebdd
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