Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Raychanan/COVID_RandomOver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raychanan/COVID_RandomOver with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Raychanan/COVID_RandomOver")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Raychanan/COVID_RandomOver") model = AutoModelForSequenceClassification.from_pretrained("Raychanan/COVID_RandomOver") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 15000
Browse files
pytorch_model.bin
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runs/Apr15_00-42-01_20f04e145805/events.out.tfevents.1649983357.20f04e145805.76.0
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