Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use JeremiahZ/roberta-base-qnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JeremiahZ/roberta-base-qnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JeremiahZ/roberta-base-qnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JeremiahZ/roberta-base-qnli") model = AutoModelForSequenceClassification.from_pretrained("JeremiahZ/roberta-base-qnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Jeremiah Zhou commited on
Commit ·
512e1b6
1
Parent(s): 71b4293
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 sha256:3054bdb55deaddfb316ad94a01ac8a89b272e104c2f81d6c7ecf02a3b2cc9fbb
|
| 3 |
size 498660333
|
runs/Jun14_18-03-03_pikachu/events.out.tfevents.1655201042.pikachu.4152742.0
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 sha256:31268a6df6d836d482e118b8aa8d81055d7ca66452f3d4dd59a4b7e3535fd86f
|
| 3 |
+
size 18476
|