Instructions to use Ploypatcha/my-model-upload with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ploypatcha/my-model-upload with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ploypatcha/my-model-upload")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ploypatcha/my-model-upload") model = AutoModelForSequenceClassification.from_pretrained("Ploypatcha/my-model-upload", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| datasets: | |
| - Ploypatcha/my-dataset | |
| language: | |
| - en | |
| metrics: | |
| - confusion_matrix | |
| - f1 | |
| - recall | |
| - precision | |
| - accuracy | |
| - roc_auc | |
| base_model: | |
| - google-bert/bert-base-uncased | |
| pipeline_tag: text-classification | |
| library_name: transformers | |
| tags: | |
| - finance | |