Instructions to use Proooof/Finance_NLP_Toolkit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Proooof/Finance_NLP_Toolkit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Proooof/Finance_NLP_Toolkit")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Proooof/Finance_NLP_Toolkit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Create training/labels_ner.json
Browse files- training/labels_ner.json +1 -0
training/labels_ner.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
["O","B-ORG","I-ORG","B-TICKER","I-TICKER","B-MONEY","I-MONEY","B-DATE","I-DATE"]
|