Instructions to use EdBerg/gleanings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EdBerg/gleanings with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "EdBerg/gleanings") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4832f92bfedb41edadbadd33d73a9b3a7ac1a7c757e10b7842b33bf3793c5d26
- Size of remote file:
- 5.43 kB
- SHA256:
- 681f97db8408851f5984f9c2d938bc8366773960a00b28c1f9139eb369d838bf
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