Instructions to use EdBerg/LongTest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EdBerg/LongTest with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mattshumer/Meta-Llama-3-8B-Instruct-LongTest") model = PeftModel.from_pretrained(base_model, "EdBerg/LongTest") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8db8afce2b01e4e4c78dff7619616ae01165615acb078afab6247d54f3ed7744
- Size of remote file:
- 336 MB
- SHA256:
- befd66d88650a3b6c3279ea9a0ce9dee9a7aa4e3bea4d89534e2bb60d669f841
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