Instructions to use A-Funakoshi/sample-text-classification-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use A-Funakoshi/sample-text-classification-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="A-Funakoshi/sample-text-classification-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("A-Funakoshi/sample-text-classification-bert") model = AutoModelForSequenceClassification.from_pretrained("A-Funakoshi/sample-text-classification-bert") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("A-Funakoshi/sample-text-classification-bert")
model = AutoModelForSequenceClassification.from_pretrained("A-Funakoshi/sample-text-classification-bert")Quick Links
No model card
- Downloads last month
- 4
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="A-Funakoshi/sample-text-classification-bert")