Instructions to use eeeebbb2/7884539a-e4cd-4ca9-bb0d-9d60871e34d0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/7884539a-e4cd-4ca9-bb0d-9d60871e34d0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-rw-1b") model = PeftModel.from_pretrained(base_model, "eeeebbb2/7884539a-e4cd-4ca9-bb0d-9d60871e34d0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1396b3425821c368d49e3639e7ef93e555018b3ce7d80014e6071190eb9e74c3
- Size of remote file:
- 101 MB
- SHA256:
- 686135f29b90dff9c5aa6f3089d97f3ab3531fc9a87a2e6aab13a03b9c701e35
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