Text Generation
PEFT
Safetensors
lora
text-generation-inference
biology
medical
ontogpt
text2text-generation
Instructions to use UoS-HGIG/MIMIC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use UoS-HGIG/MIMIC with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-70B-Instruct") model = PeftModel.from_pretrained(base_model, "UoS-HGIG/MIMIC") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1202286e156656935cbe615b41cdd7cc921d8a8767fb4d0e8c3e9fcc4badb2f
- Size of remote file:
- 5.69 kB
- SHA256:
- c014ab863b05b0ca2642a304887ade95cd53ccd25cd45461a8c5ae1a58feb213
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.