Instructions to use prxy5605/dd8e90be-54fc-4ef4-9a89-75ce15d1126e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/dd8e90be-54fc-4ef4-9a89-75ce15d1126e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/opt-1.3b") model = PeftModel.from_pretrained(base_model, "prxy5605/dd8e90be-54fc-4ef4-9a89-75ce15d1126e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 814df92552c18b2b960a182ea42e223193b2444d937bdb869b9adec725ec04d2
- Size of remote file:
- 6.84 kB
- SHA256:
- b230393c5b42cfc80775e6e10797183d609abac669e9927bf844ec3c1bee519a
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