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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Nared45/roberta-base_correlation") model = AutoModelForSequenceClassification.from_pretrained("Nared45/roberta-base_correlation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 31
Browse files
logs/events.out.tfevents.1712070888.14c8dfdbbc7a.616.0
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 sha256:0ac7b607c63a458a9918ea2075aa57c02955cda9fadab231a4f2332f3d027958
|
| 3 |
+
size 26064
|
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 sha256:2e0ecfa76615a6ed1330386aa82b550c718fe55c02596b4c724c68dc3f6c26bd
|
| 3 |
size 498612824
|