Instructions to use tessilab/BS2-riche-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tessilab/BS2-riche-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-VL-7B-Instruct") model = PeftModel.from_pretrained(base_model, "tessilab/BS2-riche-lora") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 2.9904761904761905, | |
| "num_input_tokens_seen": 8039616, | |
| "total_flos": 3.746411207808123e+17, | |
| "train_loss": 0.05875852833955716, | |
| "train_runtime": 3746.4527, | |
| "train_samples_per_second": 0.841, | |
| "train_steps_per_second": 0.052 | |
| } |