Instructions to use raniero/dummy-cpu-024-repo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use raniero/dummy-cpu-024-repo with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("OPT_350M") model = PeftModel.from_pretrained(base_model, "raniero/dummy-cpu-024-repo") - Notebooks
- Google Colab
- Kaggle
ARES56 β LoRA adapter
Upload ID: dummy-cpu-024_1757622619 upload_id: unknown_1757404904 File inclusi:
adapter_model.safetensorsβ SHA256:e5a00aa9991ac8a5ee3109844d84a55583bd20572ad3ffcd42792f3c36b183adadapter_config.jsonβ SHA256:68019ef04757eec9ab5b01ff342abdd672fa502043b8e471689e9d85c2f99470tokenizer_config.jsonβ SHA256:missingspecial_tokens_map.jsonβ SHA256:missing
Output generato via Axolotl (CPU / smoke). Nessun checkpoint completo incluso.
- Downloads last month
- -
Inference Providers NEW
This model isn't deployed by any Inference Provider. π Ask for provider support
Model tree for raniero/dummy-cpu-024-repo
Base model
TinyLlama/TinyLlama-1.1B-Chat-v1.0