Instructions to use alansynn/bert-base-banking77-pt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alansynn/bert-base-banking77-pt2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alansynn/bert-base-banking77-pt2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alansynn/bert-base-banking77-pt2") model = AutoModelForSequenceClassification.from_pretrained("alansynn/bert-base-banking77-pt2") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
logs/1682669197.1026537/events.out.tfevents.1682669197.jayne
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:22cf1070aeb20ee740159d67f0a11b6e0250d700aa26e49fe21ef3b88400ec11
|
| 3 |
+
size 5593
|
logs/events.out.tfevents.1682668819.jayne
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:a8e4877c0c03e3e7282174885d4fd6224c6fd03a6c90d1a3f48c89937efa2471
|
| 3 |
+
size 9939
|
logs/events.out.tfevents.1682669197.jayne
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f8d48d9e490ff65c763a4aa7bf9ba4d015ce8e5d339a4dfaea860e8d0a74edd1
|
| 3 |
+
size 9591
|
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 sha256:3afeacb48bad530265f2af647979ceb0fb6a46fcee4255d9001a262493412342
|
| 3 |
size 438238581
|