Instructions to use johnhandleyd/thesa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use johnhandleyd/thesa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/zephyr-7B-alpha-GPTQ") model = PeftModel.from_pretrained(base_model, "johnhandleyd/thesa") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -21,10 +21,9 @@ Thesa is an experimental project of a therapy chatbot trained on mental health d
|
|
| 21 |
|
| 22 |
## Model description
|
| 23 |
|
| 24 |
-
- Model type:
|
| 25 |
- Language(s): English
|
| 26 |
- License: MIT
|
| 27 |
-
- Fine-tuned from: [TheBloke/zephyr-7B-alpha-GPTQ](https://huggingface.co/TheBloke/zephyr-7B-alpha-GPTQ)
|
| 28 |
|
| 29 |
## Intended uses & limitations
|
| 30 |
|
|
|
|
| 21 |
|
| 22 |
## Model description
|
| 23 |
|
| 24 |
+
- Model type: fine-tuned from [TheBloke/zephyr-7B-alpha-GPTQ](https://huggingface.co/TheBloke/zephyr-7B-alpha-GPTQ) on various mental health datasets
|
| 25 |
- Language(s): English
|
| 26 |
- License: MIT
|
|
|
|
| 27 |
|
| 28 |
## Intended uses & limitations
|
| 29 |
|