Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use SSSIN/my_segment_news_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SSSIN/my_segment_news_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SSSIN/my_segment_news_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SSSIN/my_segment_news_1") model = AutoModelForSequenceClassification.from_pretrained("SSSIN/my_segment_news_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
pytorch_model.bin
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runs/Jun24_11-06-29_3b525f47827d/events.out.tfevents.1687604794.3b525f47827d.5392.1
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