Token Classification
PEFT
Safetensors
Transformers
English
lora
named-entity-recognition
finance
wsb
r/wallstreetbets
reddit
wallstreetbets
financial-nar
finance-ner
Instructions to use StephanAkkerman/stock-recognizer-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use StephanAkkerman/stock-recognizer-model with PEFT:
from peft import PeftModel from transformers import AutoModelForTokenClassification base_model = AutoModelForTokenClassification.from_pretrained("fastino/gliner2-large-v1") model = PeftModel.from_pretrained(base_model, "StephanAkkerman/stock-recognizer-model") - Transformers
How to use StephanAkkerman/stock-recognizer-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="StephanAkkerman/stock-recognizer-model")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("StephanAkkerman/stock-recognizer-model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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