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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("padmajabfrl/Religion-Classification") model = AutoModelForSequenceClassification.from_pretrained("padmajabfrl/Religion-Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Padmaj Srivastav commited on
Commit ·
369ff28
1
Parent(s): 11e7841
Training in progress, step 18000
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 sha256:57bf34a9ef45fdc66afb4f93434893e0e0c25319dec82d19beb53a62fd685d3b
|
| 3 |
size 267863153
|
runs/Jan31_08-37-26_abfrl-cltv-gpu/events.out.tfevents.1675154312.abfrl-cltv-gpu.3534.0
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 sha256:402c2c8f256b0f7533502e29fb24bb8494f0177e7d3915be582655f1f5375a77
|
| 3 |
+
size 9642
|