Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use nullzero-live/bert-base-banking77-pt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nullzero-live/bert-base-banking77-pt2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nullzero-live/bert-base-banking77-pt2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nullzero-live/bert-base-banking77-pt2") model = AutoModelForSequenceClassification.from_pretrained("nullzero-live/bert-base-banking77-pt2") - Notebooks
- Google Colab
- Kaggle
Commit ·
7f76bee
1
Parent(s): 2d32335
Training in progress, epoch 2
Browse files
logs/events.out.tfevents.1680089004.709533d230fa.327.0
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 sha256:3924090ac0228147a5607742e731d02e68afd7921e2ac4f5edeca5e75a98be69
|
| 3 |
+
size 10821
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 438238581
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8f287a541e3b9d4709c6fe3c99a357144d9fced8d0b22c65c86323d714d6b25e
|
| 3 |
size 438238581
|