Instructions to use pranjal11/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use pranjal11/results 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, "pranjal11/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d69ef5be388eee58740d9515d6f949aeb8a346abcb3cfed554ccade2c6cdf1b4
- Size of remote file:
- 4.73 kB
- SHA256:
- dfaa1851d51d4af516b77f0ffcee46b3eb900a218d096c4900bc6a133a6ac9e0
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