Instructions to use orrenius/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use orrenius/test_model 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, "orrenius/test_model") - Notebooks
- Google Colab
- Kaggle
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Download README.md from orrenius/test_model: direct link, hf CLI and curl.
- Browser
- Download file 129 Bytes
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https://huggingface.co/orrenius/test_model/resolve/refs%2Fpr%2F1/README.md
- Command line
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hf download hf://orrenius/test_model@refs/pr/1/README.md
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curl -L -o README.md https://huggingface.co/orrenius/test_model/resolve/refs%2Fpr%2F1/README.md
129 Bytes
metadata
language:
- en
library_name: peft
tags:
- test
pipeline_tag: text-generation
base_model: ybelkada/falcon-7b-sharded-bf16