Instructions to use deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion1 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_IncrementTrainingVersion1") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion1: direct link, hf CLI and curl.
- Browser
- Download file 261 MB
-
https://huggingface.co/deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion1/resolve/main/adapter_model.bin
- Command line
-
hf download hf://deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion1/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion1/resolve/main/adapter_model.bin
261 MB
- Xet hash:
- e9b663c3139f041086afb5e8e24c2663a0c486f737f86329f53f63804fd58898
- Size of remote file:
- 261 MB
- SHA256:
- 4ad895c75cab3dad714be247b663916a36bbbc3db37292cc5da718bad5ee45c8
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