Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use JeremiahZ/roberta-base-rte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JeremiahZ/roberta-base-rte with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JeremiahZ/roberta-base-rte")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JeremiahZ/roberta-base-rte") model = AutoModelForSequenceClassification.from_pretrained("JeremiahZ/roberta-base-rte") - Notebooks
- Google Colab
- Kaggle
Jeremiah Zhou commited on
Commit ·
1302929
1
Parent(s): 6f19a97
Model save
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 498660333
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fda9956cf8e7b9c35d6d11664d0aec739c44ea207465c65df28ba0ec16a81e96
|
| 3 |
size 498660333
|
runs/Jun20_21-46-24_pikachu/events.out.tfevents.1655733004.pikachu.2660395.0
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:b493c6831797cce25e11e2341ee6cfaa6a3c9c2fe39d2fb9aaf7268b0e1b3e61
|
| 3 |
+
size 7820
|