Instructions to use rreit/mistral-7B-StaproCoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rreit/mistral-7B-StaproCoder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "rreit/mistral-7B-StaproCoder") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1300
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 335604696
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d118bedb766b08e197de9cdd6dfb488f1faf5043d4f3980a7bad7a23d1cb6497
|
| 3 |
size 335604696
|
runs/Mar03_17-28-06_grace2/events.out.tfevents.1709483300.grace2.591973.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:559525488c7afb323fb9f20afc7638f43f5e824604f9dc2ab9994da37c64059d
|
| 3 |
+
size 63332
|