Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Sharpaxis/NEWS_BERT_FINETUNED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sharpaxis/NEWS_BERT_FINETUNED with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sharpaxis/NEWS_BERT_FINETUNED")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sharpaxis/NEWS_BERT_FINETUNED") model = AutoModelForSequenceClassification.from_pretrained("Sharpaxis/NEWS_BERT_FINETUNED") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 955
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 437958648
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a695b54f39431b99c30dbc6582b1d4a4a2ae5781899ca54246d1993c64cb5b13
|
| 3 |
size 437958648
|
runs/Nov23_08-46-44_0e28803744c0/events.out.tfevents.1732351605.0e28803744c0.30.1
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 sha256:2d9b81554e16ef2a4e3dc992cd14bec9723fcc2d05749343ec7d232012f4686e
|
| 3 |
+
size 7454
|