Text Generation
PEFT
Safetensors
conversational-memory
information-extraction
long-context
lora
qwen2.5
conversational
Instructions to use AsadIsmail/prism-memory with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AsadIsmail/prism-memory with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "AsadIsmail/prism-memory") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31cc99012d87a44fb9490fa75060229b9b61d6215adfbfb936de51fba6b4337a
- Size of remote file:
- 5.3 kB
- SHA256:
- ab50b36dda4f8579bc40c94cd34d87dc76941d8407e8046b68e59716a94b0f61
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