Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use abigailp/vacc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abigailp/vacc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abigailp/vacc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abigailp/vacc") model = AutoModelForSequenceClassification.from_pretrained("abigailp/vacc") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 31
Browse files
pytorch_model.bin
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runs/Jan31_05-04-02_4a5c904a69f2/events.out.tfevents.1675141556.4a5c904a69f2.206.0
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