Instructions to use acmc/falcon-7b-sharded-bf16-autextification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use acmc/falcon-7b-sharded-bf16-autextification 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, "acmc/falcon-7b-sharded-bf16-autextification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12a0a97a05057d77f912e92d6b88ff7658d6624af3b818fdfcd8416c34c2e50c
- Size of remote file:
- 4.98 kB
- SHA256:
- a67960fbfa9a0773a29843b8b60848e019458d5fe2a159ae7a4fc8827c8c18d2
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