Instructions to use kastan/sf_medium_bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kastan/sf_medium_bf16 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, "kastan/sf_medium_bf16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a60641fc45641f92ce72ffeaadaba11409f12259ad3462f82dd10339063f9b0
- Size of remote file:
- 3.96 kB
- SHA256:
- 09b2a027ff3eeefff52709052ca1b382e9023fdb0fe1e9ea0eea22ce841ca622
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