Instructions to use Buseak/spellcorrector_17_02_050_qwerty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Buseak/spellcorrector_17_02_050_qwerty with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Buseak/spellcorrector_17_02_050_qwerty")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Buseak/spellcorrector_17_02_050_qwerty") model = AutoModelForTokenClassification.from_pretrained("Buseak/spellcorrector_17_02_050_qwerty", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 14
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 528687832
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0ba877ce0dfeff0b199bc0e6e1256b8f290c647b6d1635b89688cf49b3ee602e
|
| 3 |
size 528687832
|
runs/Feb17_18-15-19_17750df0aea1/events.out.tfevents.1708193720.17750df0aea1.6406.0
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 sha256:19e4911a1a303cdd09565eeca55a579bd2909b30621d775e2d12eaf742061d3a
|
| 3 |
+
size 18410
|