Instructions to use Bhagya17/Summarization_2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Bhagya17/Summarization_2.0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/zephyr-7B-beta-GPTQ") model = PeftModel.from_pretrained(base_model, "Bhagya17/Summarization_2.0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dba262b6807c93add5a9bd0ac542c06c63d8c6891f663dae521a76dfc5e7dc0a
- Size of remote file:
- 4.73 kB
- SHA256:
- 41aed49a1621442631949dd2bff549665654208e12aa86c2783a0268b681eeea
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