Instructions to use usmanhaider95/falcon7b_dense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use usmanhaider95/falcon7b_dense 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, "usmanhaider95/falcon7b_dense") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aaa9dc5808e6e408d67a7e1d18fae1c02086d98bad1e9cbc66ac923d4ce40f05
- Size of remote file:
- 131 MB
- SHA256:
- 277c97a0e3734d42cb0befdd35efe09078d997ee9ef30b749fe8e7c335557f61
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