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
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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oid sha256:9ca460c84bf4bdf8b19c6093c7f1f602de380a44869dc3b25766b42bd7816b0d
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size 263150840
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