Instructions to use Buseak/spellcorrector_810_v12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Buseak/spellcorrector_810_v12 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Buseak/spellcorrector_810_v12")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Buseak/spellcorrector_810_v12") model = AutoModelForTokenClassification.from_pretrained("Buseak/spellcorrector_810_v12") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 528874609
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b27d48b8fb49e862c4836bc826a6ce2e7845fe9eecd8e4aed69e85524a29e540
|
| 3 |
size 528874609
|
runs/Oct08_19-58-46_6a9df380ef53/1696795275.4450977/events.out.tfevents.1696795275.6a9df380ef53.1039.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:91600e9d5587b71e1cff861aadd8e9418fb1f62ed81aeb0eff6786b30eb23738
|
| 3 |
+
size 5888
|
runs/Oct08_19-58-46_6a9df380ef53/events.out.tfevents.1696795275.6a9df380ef53.1039.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:39dc6811c4c38a65e6485b9224743f9186b968f24091f397927e4385467ba648
|
| 3 |
+
size 8259
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3579
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:da514f65d7307e2b29c04002c0fa8906be36d0ade6340aa4c0f51b4332d20323
|
| 3 |
size 3579
|