Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use dzrex/test-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dzrex/test-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dzrex/test-trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dzrex/test-trainer") model = AutoModelForSequenceClassification.from_pretrained("dzrex/test-trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
final
Browse files
runs/Apr18_06-48-03_2a0623146094/events.out.tfevents.1681800510.2a0623146094.379.0
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 sha256:5a352ad9e32de08d2265363303d42fc9a9ceb138df40b8375acd6ff6e0d5763e
|
| 3 |
+
size 9725
|