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
File size: 266 Bytes
077df8f 6c6f655 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | ---
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
---
|