Text Classification
Transformers
Safetensors
bert
finance
sentiment-analysis
twitter
turkish
prediction
text-embeddings-inference
Instructions to use engibeer/prediction-sentiment-bist30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use engibeer/prediction-sentiment-bist30 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="engibeer/prediction-sentiment-bist30")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("engibeer/prediction-sentiment-bist30") model = AutoModelForSequenceClassification.from_pretrained("engibeer/prediction-sentiment-bist30", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K