Instructions to use Trisha2411/Trisha_StarCoder2_HTML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Trisha2411/Trisha_StarCoder2_HTML with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "Trisha2411/Trisha_StarCoder2_HTML") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -9,6 +9,8 @@ base_model: bigcode/starcoder2-3b
|
|
| 9 |
model-index:
|
| 10 |
- name: Trisha_StarCoder2_HTML
|
| 11 |
results: []
|
|
|
|
|
|
|
| 12 |
---
|
| 13 |
|
| 14 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 9 |
model-index:
|
| 10 |
- name: Trisha_StarCoder2_HTML
|
| 11 |
results: []
|
| 12 |
+
datasets:
|
| 13 |
+
- bigcode/the-stack-smol
|
| 14 |
---
|
| 15 |
|
| 16 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|