Instructions to use Trung/gpt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Trung/gpt2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Trung/gpt2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Trung/gpt2") model = AutoModelForSequenceClassification.from_pretrained("Trung/gpt2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload GPT2ForSequenceClassification
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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