Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Ahmed235/roberta-base-topic_classification_simple2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ahmed235/roberta-base-topic_classification_simple2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ahmed235/roberta-base-topic_classification_simple2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ahmed235/roberta-base-topic_classification_simple2") model = AutoModelForSequenceClassification.from_pretrained("Ahmed235/roberta-base-topic_classification_simple2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 14
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 725458760
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:991deccde390326620c4e7c02387f7bdaf91bc326181f7ecf51125486f905da7
|
| 3 |
size 725458760
|
runs/Jan27_19-44-39_f88a4aa5a720/events.out.tfevents.1706384680.f88a4aa5a720.1702.0
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 sha256:01c3898f8195cc841b8ab79f17290f1383c7952bafcb9215f247f9b2bbf43fd8
|
| 3 |
+
size 9780
|