Text Generation
PEFT
Safetensors
lora
open-jev
classification
logprob
minicpm
adapters
conversational
Instructions to use nicolasembleton/openjev-minicpm5-2b-lora-phase1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nicolasembleton/openjev-minicpm5-2b-lora-phase1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openbmb/MiniCPM5-2B") model = PeftModel.from_pretrained(base_model, "nicolasembleton/openjev-minicpm5-2b-lora-phase1") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from nicolasembleton/openjev-minicpm5-2b-lora-phase1: direct link, hf CLI and curl.
- Browser
- Download file 101 MB
-
https://huggingface.co/nicolasembleton/openjev-minicpm5-2b-lora-phase1/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://nicolasembleton/openjev-minicpm5-2b-lora-phase1/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/nicolasembleton/openjev-minicpm5-2b-lora-phase1/resolve/main/adapter_model.safetensors
101 MB
- Xet hash:
- 53ff10f9435744db39dec2ebc98e63ff6242cb9c9f1802eb1b777f8d1409dc76
- Size of remote file:
- 101 MB
- SHA256:
- acdf695020a1933ee7dc51b22a2b4fcdeb469f0094e0972097bb8c529e91465e
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