Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use ShreyasM/bert-base-banking77-pt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShreyasM/bert-base-banking77-pt2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ShreyasM/bert-base-banking77-pt2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ShreyasM/bert-base-banking77-pt2") model = AutoModelForSequenceClassification.from_pretrained("ShreyasM/bert-base-banking77-pt2") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
logs/events.out.tfevents.1679277007.3453fe719b09.2639.0
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 sha256:205c06b2588f2990e5e873509908b77f671edb3049447f47e57b08bd86cacdde
|
| 3 |
+
size 11612
|
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 sha256:86bb81d0ab7be285ccb08c3d509559cdd0bc458d9623dfadc80180a05aef705e
|
| 3 |
size 438238581
|