Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use padmajabfrl/Religion-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use padmajabfrl/Religion-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="padmajabfrl/Religion-Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("padmajabfrl/Religion-Classification") model = AutoModelForSequenceClassification.from_pretrained("padmajabfrl/Religion-Classification") - Notebooks
- Google Colab
- Kaggle
Padmaj Srivastav commited on
Commit ·
244fb70
1
Parent(s): 11ba5d6
Training in progress, step 18500
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 267863153
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e4c8f7ec479964bf8cdd4c08452d17fada95e6c7849ab581cddc82bc74438c0c
|
| 3 |
size 267863153
|
runs/Jan31_04-38-05_abfrl-cltv-gpu/events.out.tfevents.1675139966.abfrl-cltv-gpu.3972.0
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 sha256:28f935a0d88e1ee7c249f5d25833fd03558f2334ff4aa3b203e39c0136c53730
|
| 3 |
+
size 10448
|