Instructions to use tinyopsec/Qwen3.8-2B-FC-xLAM-Magicoder-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tinyopsec/Qwen3.8-2B-FC-xLAM-Magicoder-LoRA with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tinyopsec/Qwen3.8-2B-FC-xLAM-Magicoder-LoRA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Training in progress, step 1000
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 174616272
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8f9bb07535c9475f0be66c42d449e17ae2cdba56367ade01f8e33acb1ac88933
|
| 3 |
size 174616272
|