Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Nared45/roberta-base_correlation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nared45/roberta-base_correlation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Nared45/roberta-base_correlation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Nared45/roberta-base_correlation") model = AutoModelForSequenceClassification.from_pretrained("Nared45/roberta-base_correlation") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 9
Browse files
logs/events.out.tfevents.1712002554.ea1121bc863c.333.0
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:f6b3f773c249f9159168324cdf3123a87329f583a8be46dda507d501e1c8752c
|
| 3 |
+
size 10818
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 498612824
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7dfb5e80370a13f06b5dd4dfcdf0bbd08fa63a3ab8361c0610358f627e2420c1
|
| 3 |
size 498612824
|