Instructions to use thrunlab/gpt2_cola_loading_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thrunlab/gpt2_cola_loading_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thrunlab/gpt2_cola_loading_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thrunlab/gpt2_cola_loading_test") model = AutoModelForSequenceClassification.from_pretrained("thrunlab/gpt2_cola_loading_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba5476091b5e1a1c53a00476c420f2fc6bd471655a246c423d160e02d3dfa6a8
- Size of remote file:
- 249 MB
- SHA256:
- 9741928b7b128cceb4ef0593b0dbc52fd747e1044d7becb256d4fba4217c78cd
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