Text Generation
PEFT
Safetensors
English
biology
single-cell
tcr
adapter
lora
chain-of-thought
reinforcement-learning
Instructions to use EthanGao123/CellHermes-CoT-RL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EthanGao123/CellHermes-CoT-RL with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EthanGao123/CellHermes-CoT-SFT") model = PeftModel.from_pretrained(base_model, "EthanGao123/CellHermes-CoT-RL") - Notebooks
- Google Colab
- Kaggle
Add Hugging Face model card metadata
Browse files
README.md
CHANGED
|
@@ -1,3 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
# CellHermes-CoT-RL
|
| 2 |
|
| 3 |
This repository contains the reinforcement-learning LoRA adapter used for the `CellHermes-CoT-RL` row in the TCR reactivity benchmark.
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: llama3.1
|
| 3 |
+
language:
|
| 4 |
+
- en
|
| 5 |
+
library_name: peft
|
| 6 |
+
pipeline_tag: text-generation
|
| 7 |
+
base_model: EthanGao123/CellHermes-CoT-SFT
|
| 8 |
+
base_model_relation: adapter
|
| 9 |
+
tags:
|
| 10 |
+
- biology
|
| 11 |
+
- single-cell
|
| 12 |
+
- tcr
|
| 13 |
+
- lora
|
| 14 |
+
- peft
|
| 15 |
+
- chain-of-thought
|
| 16 |
+
- reinforcement-learning
|
| 17 |
+
---
|
| 18 |
+
|
| 19 |
# CellHermes-CoT-RL
|
| 20 |
|
| 21 |
This repository contains the reinforcement-learning LoRA adapter used for the `CellHermes-CoT-RL` row in the TCR reactivity benchmark.
|