Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use tingchih/1025 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tingchih/1025 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tingchih/1025")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tingchih/1025") model = AutoModelForSequenceClassification.from_pretrained("tingchih/1025") - Notebooks
- Google Colab
- Kaggle
classification-1025
Browse files
pytorch_model.bin
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runs/Oct26_00-48-13_vision1.cs.vt.edu/events.out.tfevents.1698295701.vision1.cs.vt.edu.1574623.0
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