Instructions to use SushantGautam/LogClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SushantGautam/LogClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SushantGautam/LogClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SushantGautam/LogClassification") model = AutoModelForSequenceClassification.from_pretrained("SushantGautam/LogClassification") - Notebooks
- Google Colab
- Kaggle
Commit ·
e4dbc86
1
Parent(s): 44710eb
Training in progress, step 7000
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 528556049
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:372b7af175579cd864c45c4156cb5961deaf677457492f5f9fe632b38e342ded
|
| 3 |
size 528556049
|