Instructions to use thalllsssss/aaeaa7c4-1b20-4f3b-8aaf-07251ec75a93 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thalllsssss/aaeaa7c4-1b20-4f3b-8aaf-07251ec75a93 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-v0.3") model = PeftModel.from_pretrained(base_model, "thalllsssss/aaeaa7c4-1b20-4f3b-8aaf-07251ec75a93") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ef6d39852ec31fb59ed765dd0044f1f536226a17bf33a394292777a9fef20bd
- Size of remote file:
- 83.9 MB
- SHA256:
- e4af130a73e7bb41382d816ec2a37ad837e9387ee1b58a75553186ad147fd95e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.