Instructions to use fernandals/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fernandals/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-13b-hf") model = PeftModel.from_pretrained(base_model, "fernandals/results") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from fernandals/results: direct link, hf CLI and curl.
- Browser
- Download file 250 MB
-
https://huggingface.co/fernandals/results/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://fernandals/results/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/fernandals/results/resolve/main/adapter_model.safetensors
250 MB
- Xet hash:
- f37ce7caadc1066300216c05b61cbaedd5ae51b618114f005fbe4672c4fe46cc
- Size of remote file:
- 250 MB
- SHA256:
- 295c2d38f57332b2a47d5d7a04ba482b1eab8463c43187035cc8609a1451337f
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