Instructions to use KrushiJethe/gpt2_sequence_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KrushiJethe/gpt2_sequence_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KrushiJethe/gpt2_sequence_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KrushiJethe/gpt2_sequence_classification") model = AutoModelForSequenceClassification.from_pretrained("KrushiJethe/gpt2_sequence_classification") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("KrushiJethe/gpt2_sequence_classification")
model = AutoModelForSequenceClassification.from_pretrained("KrushiJethe/gpt2_sequence_classification")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
GPT2 model trained on the test set of wiki_qa dataset for sequence classification task.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KrushiJethe/gpt2_sequence_classification")