Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use pedroplanel/bert-base-banking77 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pedroplanel/bert-base-banking77 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pedroplanel/bert-base-banking77")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pedroplanel/bert-base-banking77") model = AutoModelForSequenceClassification.from_pretrained("pedroplanel/bert-base-banking77") - Notebooks
- Google Colab
- Kaggle
Pedro Gabriel commited on
Commit ·
5c62808
1
Parent(s): 2c4a297
Training in progress, epoch 2
Browse files
logs/events.out.tfevents.1685399845.209eb5847d42.988.0
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:b35d03fd1a9078585be112048ebace51bef5fbe1329686b3ee594c4d96c3edae
|
| 3 |
+
size 10859
|
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 sha256:8e17f4a5512a6eaa1a67f52e6444e9c32ea94bb6c07d3ce75cdebb90c7e1ef29
|
| 3 |
size 438238581
|