Instructions to use deepapaikar/Llama_13B_Sentence_completion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use deepapaikar/Llama_13B_Sentence_completion with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-chat-hf") model = PeftModel.from_pretrained(base_model, "deepapaikar/Llama_13B_Sentence_completion") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 927a11c246e48921fdee81169ae277fecf1f546c77fb0cb7390465160ffc3084
- Size of remote file:
- 210 MB
- SHA256:
- 5f8ac6838b8cea86570e4b571fbd5a06cefe9a277337d10abbfb3870605e34aa
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