Text Classification
Transformers
PyTorch
Chinese
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use paulkm/autotrain-lottery_prod_v3-3409393337 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulkm/autotrain-lottery_prod_v3-3409393337 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="paulkm/autotrain-lottery_prod_v3-3409393337")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("paulkm/autotrain-lottery_prod_v3-3409393337") model = AutoModelForSequenceClassification.from_pretrained("paulkm/autotrain-lottery_prod_v3-3409393337", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
Ctrl+K