Instructions to use vdpappu/lora_stock_analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vdpappu/lora_stock_analysis with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "vdpappu/lora_stock_analysis") - Notebooks
- Google Colab
- Kaggle
Upload adapter_model.safetensors with huggingface_hub
Browse files
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f82bcccc8cf6ec794b077d6f6913cd3af5e42b17d86b851722dcb765e132b28d
|
| 3 |
+
size 3695848
|