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:
- a856fd0a67591d251bea21c73c5b06bfe686c720f3b80301e855f1e1da94a836
- Size of remote file:
- 5.43 kB
- SHA256:
- f5bc536e0f25b2aa2c3749822d90bd0a3c88b718b3c36f1e39b829c7653a58cf
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