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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
5e1810a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:efaeeb76dc6ec51e0d40e3fadf0538b5b83825be30faf9c74f8bc0b525c9a146
size 442545135
|