Instructions to use AlphaRish/peft-starcoder-lora-a100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlphaRish/peft-starcoder-lora-a100 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AlphaRish/peft-starcoder-lora-a100")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AlphaRish/peft-starcoder-lora-a100") model = AutoModelForSequenceClassification.from_pretrained("AlphaRish/peft-starcoder-lora-a100") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1300
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 437958648
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:50f0987fa8627a71f7f2fbf7922a5da9826dbf7eb8b37ba3ed18853fd8b1661a
|
| 3 |
size 437958648
|
runs/Apr24_21-17-52_d652cd4002cc/events.out.tfevents.1713994666.d652cd4002cc.513.0
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:eb6918547fca8c307be54ac35cfea2ee5333563443487556868b14a2c94b03b7
|
| 3 |
+
size 19236
|