Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use kevinwlip/finbert-1500-samples-fine-tune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kevinwlip/finbert-1500-samples-fine-tune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kevinwlip/finbert-1500-samples-fine-tune")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kevinwlip/finbert-1500-samples-fine-tune") model = AutoModelForSequenceClassification.from_pretrained("kevinwlip/finbert-1500-samples-fine-tune") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 437961724
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b8af51ade4358ff7351567b2bf644f505941ab246c77b7b023c6136f5c43d8b4
|
| 3 |
size 437961724
|
runs/Jun19_08-30-30_4bb40413f3c0/events.out.tfevents.1718785838.4bb40413f3c0.4680.7
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:b74389b92d3722e103e0eb85529c1a5dffd218647aa354bcfd3d8d33ba05218a
|
| 3 |
+
size 5420
|