Text Classification
Transformers
PyTorch
TensorBoard
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use severo/autotrain-pvtx-agdd-0n1w-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use severo/autotrain-pvtx-agdd-0n1w-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="severo/autotrain-pvtx-agdd-0n1w-1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("severo/autotrain-pvtx-agdd-0n1w-1") model = AutoModelForSequenceClassification.from_pretrained("severo/autotrain-pvtx-agdd-0n1w-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot