Instructions to use amaandhada/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use amaandhada/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/RedPajama-INCITE-Instruct-3B-v1") model = PeftModel.from_pretrained(base_model, "amaandhada/outputs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c21d30e8174c147da502260cf2bc13607ee0449e41b2c8c96dcab000dbbfa872
- Size of remote file:
- 4.73 kB
- SHA256:
- 7672972634f00f4c9a99b55dcf463fb7116d8a52ecffdd2cb726d8093442e56b
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