Text Classification
Transformers
Safetensors
code
bert
Generated from Trainer
text-embeddings-inference
Instructions to use HuggingFaceTB/stack-edu-classifier-c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuggingFaceTB/stack-edu-classifier-c with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HuggingFaceTB/stack-edu-classifier-c")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HuggingFaceTB/stack-edu-classifier-c") model = AutoModelForSequenceClassification.from_pretrained("HuggingFaceTB/stack-edu-classifier-c") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
f93823f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:9e55e559a9d4a06a6d8952a82c5cd92d5c9e1d18fcb9ab0be3a9ee807c9d41ee
size 5304
|