Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use jkhan447/sentiment-model-sample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jkhan447/sentiment-model-sample with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jkhan447/sentiment-model-sample")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jkhan447/sentiment-model-sample") model = AutoModelForSequenceClassification.from_pretrained("jkhan447/sentiment-model-sample") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Mar02_08-00-51_ce15ab066eaa
- Mar03_03-55-55_87599ec8faa2
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- Mar03_07-08-43_87599ec8faa2
- Mar04_06-57-16_d9d1282bcf9f