Instructions to use 5cean/seoul_works2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 5cean/seoul_works2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="5cean/seoul_works2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("5cean/seoul_works2") model = AutoModelForSequenceClassification.from_pretrained("5cean/seoul_works2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 328492280
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ae501e2f6f26d0a10143603df5a5e130ad8056a5ee50c97a032d2d112f3f0171
|
| 3 |
size 328492280
|
runs/Jul29_09-54-50_gpu-1/events.out.tfevents.1722214493.gpu-1.573727.1
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:c40f5792b6192aecdbb01501871bbe1baa6e3292658d0843c37dd7b76595460c
|
| 3 |
+
size 7895
|