Instructions to use Sayan1997/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Sayan1997/test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyPixel/Llama-2-7B-bf16-sharded") model = PeftModel.from_pretrained(base_model, "Sayan1997/test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17d0cae18e4b072f2dca171707f3064604c41efee33747208398a49d2981063e
- Size of remote file:
- 134 MB
- SHA256:
- 4e8a8a45f8d767182da104f9cc54997e9884cb073c93b2e7bbd0ebc44a38b174
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