Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use thanhcong2001/Multiple_Labels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thanhcong2001/Multiple_Labels with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thanhcong2001/Multiple_Labels")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thanhcong2001/Multiple_Labels") model = AutoModelForSequenceClassification.from_pretrained("thanhcong2001/Multiple_Labels") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
3d4d01e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:15ded923ce310614dda13e92c68c8ba61d3d45e66e8450ac3c1e98f6fa228cfe
size 267838720
|