Instructions to use Ciphur/finbert_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ciphur/finbert_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Ciphur/finbert_finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Ciphur/finbert_finetuned") model = AutoModelForTokenClassification.from_pretrained("Ciphur/finbert_finetuned") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 435623772
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:edd37a93e2599046168a2526e0077fdc44763773bdf6a11f2664ff539e4a8a51
|
| 3 |
size 435623772
|
runs/Feb04_12-44-08_6860d56f07b0/events.out.tfevents.1738673053.6860d56f07b0.300.3
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 sha256:0d9557eb51156315c5daf419ea2f8aafc5d394b1f961cb59eea3bbae82ae0186
|
| 3 |
+
size 6957
|