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
- Xet hash:
- 36cb64440b46062493d924a58a427ce5dfabd8501cc5cf27a72b4b1cfedff01c
- Size of remote file:
- 17.1 MB
- SHA256:
- e33145445182c46ae896d136b317372e86aef9e6e5946ad03d231e4ff335eb2d
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