Text Classification
Transformers
Safetensors
English
bert
sentiment-analysis
fine-tuned
sentiment-classification
text-embeddings-inference
Instructions to use rohittamidapati11/fine_tuned_sentiment_model_rt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rohittamidapati11/fine_tuned_sentiment_model_rt2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rohittamidapati11/fine_tuned_sentiment_model_rt2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rohittamidapati11/fine_tuned_sentiment_model_rt2") model = AutoModelForSequenceClassification.from_pretrained("rohittamidapati11/fine_tuned_sentiment_model_rt2") - Notebooks
- Google Colab
- Kaggle
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