Text Classification
Transformers
PyTorch
Safetensors
English
gpt2
Natural Language Inference
Sequence Classification
GPT2
Backpack
ESNLI
custom_code
Eval Results (legacy)
Instructions to use ErfanMoosaviMonazzah/backpack-gpt2-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ErfanMoosaviMonazzah/backpack-gpt2-nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ErfanMoosaviMonazzah/backpack-gpt2-nli", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ErfanMoosaviMonazzah/backpack-gpt2-nli", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("ErfanMoosaviMonazzah/backpack-gpt2-nli", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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