Instructions to use deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion3 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_IncrementTrainingVersion3") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion3: direct link, hf CLI and curl.
- Browser
- Download file 261 MB
-
https://huggingface.co/deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion3/resolve/main/adapter_model.bin
- Command line
-
hf download hf://deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion3/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion3/resolve/main/adapter_model.bin
261 MB
- Xet hash:
- fea57512a8bc645e505a75d77799a8a0c40dac67516ddc80dab53e8c424342c3
- Size of remote file:
- 261 MB
- SHA256:
- 7fd5f38f5280fe716633e5dc7dfe644382b3bbc2214bdd0caa4a04c025020307
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