Text Classification
Transformers
Safetensors
bert
multilingual
multi-label-classification
community-notes
topic-classification
text-embeddings-inference
Instructions to use ychuai/community-notes-topic-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ychuai/community-notes-topic-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ychuai/community-notes-topic-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ychuai/community-notes-topic-classifier") model = AutoModelForSequenceClassification.from_pretrained("ychuai/community-notes-topic-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
cec807d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e33145445182c46ae896d136b317372e86aef9e6e5946ad03d231e4ff335eb2d
size 17082833
|