# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("ChunLok/CAM_sentiment_model")
model = AutoModelForSequenceClassification.from_pretrained("ChunLok/CAM_sentiment_model")Quick Links
CAM_sentiment_model
More information needed
Model description
More information needed
Intended uses & limitations
More information needed
Training hyperparameters
More information needed
Training results
More information needed
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Downloads last month
- 2
Model tree for ChunLok/CAM_sentiment_model
Base model
yiyanghkust/finbert-pretrain
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ChunLok/CAM_sentiment_model")