Text Classification
Transformers
PyTorch
Safetensors
Polish
distilbert
financial-sentiment-analysis
sentiment-analysis
distiluse
Eval Results (legacy)
text-embeddings-inference
Instructions to use bardsai/finance-sentiment-pl-fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bardsai/finance-sentiment-pl-fast with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bardsai/finance-sentiment-pl-fast")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bardsai/finance-sentiment-pl-fast") model = AutoModelForSequenceClassification.from_pretrained("bardsai/finance-sentiment-pl-fast", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
fa7c18b
1
Parent(s): 345d34e
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (3e44745e9c750654d633e0ee24447b12793a830f)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:722ce02111922d2933428d1cd50683c70756eeacb45cda1732ef12406b44a314
|
| 3 |
+
size 541320450
|