Instructions to use robinhad/open_llama_3b_uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use robinhad/open_llama_3b_uk with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_3b_v2") model = PeftModel.from_pretrained(base_model, "robinhad/open_llama_3b_uk") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,15 @@
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
+
datasets:
|
| 4 |
+
- robinhad/databricks-dolly-15k-uk
|
| 5 |
+
language:
|
| 6 |
+
- uk
|
| 7 |
+
library_name: peft
|
| 8 |
+
pipeline_tag: text-generation
|
| 9 |
---
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
This is a release of Open LLama, tuned for Ukrainian language.
|
| 14 |
+
|
| 15 |
+
Currently it contains adapter weights, possible subject to change in future.
|