Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use BaxterAI/SentimentClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BaxterAI/SentimentClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BaxterAI/SentimentClassifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BaxterAI/SentimentClassifier") model = AutoModelForSequenceClassification.from_pretrained("BaxterAI/SentimentClassifier") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- May24_05-25-05_58d7f38b6835
- May24_05-35-34_58d7f38b6835
- May24_05-47-42_58d7f38b6835
- May24_05-55-43_58d7f38b6835
- May24_06-51-27_58d7f38b6835
- May24_07-04-55_58d7f38b6835
- May24_22-40-07_7f1cf4901a6e
- May25_01-15-44_7d6cf42ee919
- May25_01-25-36_7d6cf42ee919
- May25_01-36-21_7d6cf42ee919
- May25_01-49-48_7d6cf42ee919
- May25_01-58-27_7d6cf42ee919
- May25_02-00-58_7d6cf42ee919
- May25_02-01-47_7d6cf42ee919
- May25_02-02-45_7d6cf42ee919
- May25_02-05-38_7d6cf42ee919
- May25_02-11-37_7d6cf42ee919
- May25_04-17-43_7d6cf42ee919