Instructions to use succnz/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use succnz/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="succnz/results")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("succnz/results") model = AutoModelForSequenceClassification.from_pretrained("succnz/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 409100240
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0743fccaa7ff9915963f69fe926591ce4a2212e8c50c67ac1a439060775ea0fd
|
| 3 |
size 409100240
|
runs/Dec30_13-44-30_5f10f9fdbc83/events.out.tfevents.1703943871.5f10f9fdbc83.1353.0
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:f3bf7bd04a46bf0d728e07b3ffc29ad0d6b9b8662aa440d4b28bd395738bb419
|
| 3 |
+
size 5666
|