Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
distilbert
text-embeddings-inference
Instructions to use Joshwabail/distilbert-absa-sequence-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Joshwabail/distilbert-absa-sequence-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Joshwabail/distilbert-absa-sequence-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Joshwabail/distilbert-absa-sequence-classification") model = AutoModelForSequenceClassification.from_pretrained("Joshwabail/distilbert-absa-sequence-classification") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Joshwabail/distilbert-absa-sequence-classification")
model = AutoModelForSequenceClassification.from_pretrained("Joshwabail/distilbert-absa-sequence-classification")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Joshwabail/distilbert-absa-sequence-classification")