Graph Machine Learning
PEFT
Safetensors
English
Text-Graph-to-Text
chemistry
material science
molecular design
Instructions to use liuganghuggingface/Llamole-Llama-3.1-8B-Instruct-Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use liuganghuggingface/Llamole-Llama-3.1-8B-Instruct-Adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "liuganghuggingface/Llamole-Llama-3.1-8B-Instruct-Adapter") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -19,7 +19,7 @@ The adapter fine-tuned for Llamole (Multimodal Large Language Model for Molecula
|
|
| 19 |
|
| 20 |
## Model Sources [optional]
|
| 21 |
|
| 22 |
-
- **Repository:**
|
| 23 |
- **Paper:** [Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning](https://arxiv.org/abs/2410.04223)
|
| 24 |
- **Demo:** Coming soon
|
| 25 |
|
|
|
|
| 19 |
|
| 20 |
## Model Sources [optional]
|
| 21 |
|
| 22 |
+
- **Repository:** https://github.com/liugangcode/Llamole
|
| 23 |
- **Paper:** [Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning](https://arxiv.org/abs/2410.04223)
|
| 24 |
- **Demo:** Coming soon
|
| 25 |
|