Instructions to use gushcloudcashteo/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gushcloudcashteo/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, "gushcloudcashteo/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ebe44fcd0379426396b88dba8e95145185b4b1735ddbbcfeb3baabbe80b4692
- Size of remote file:
- 4.66 kB
- SHA256:
- 928ae454a3915a9895db74def7092addf02f2e7e75b2351a522b166c23d0d42b
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