Text Classification
Transformers
Safetensors
PyTorch
Hindi
bert
finance
sentiment-analysis
financial-sentiment-analysis
hindi
text-embeddings-inference
Instructions to use Kenpache/flame2-hindi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kenpache/flame2-hindi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Kenpache/flame2-hindi")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Kenpache/flame2-hindi") model = AutoModelForSequenceClassification.from_pretrained("Kenpache/flame2-hindi") - Notebooks
- Google Colab
- Kaggle
Ctrl+K