Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use abigailp/vaccinated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abigailp/vaccinated with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abigailp/vaccinated")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abigailp/vaccinated") model = AutoModelForSequenceClassification.from_pretrained("abigailp/vaccinated", device_map="auto") - Notebooks
- Google Colab
- Kaggle
abigailp/vaccinated
Browse files
pytorch_model.bin
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runs/Feb10_16-44-03_ac2842dfa3b4/events.out.tfevents.1676047455.ac2842dfa3b4.110.0
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