Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Ibrahim-Alam/finetuning-roberta-base-on-tweet_sentiment_binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ibrahim-Alam/finetuning-roberta-base-on-tweet_sentiment_binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ibrahim-Alam/finetuning-roberta-base-on-tweet_sentiment_binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ibrahim-Alam/finetuning-roberta-base-on-tweet_sentiment_binary") model = AutoModelForSequenceClassification.from_pretrained("Ibrahim-Alam/finetuning-roberta-base-on-tweet_sentiment_binary") - Notebooks
- Google Colab
- Kaggle
Ctrl+K