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:
- c5c83a2a936ea898d44777607bb679e14324bca2d470eb15ad445c3cb331a4a3
- Size of remote file:
- 6.01 kB
- SHA256:
- 4ddb90903dd365ab0ad9746c616fbe0b812ae82d50b140090a8137d6f4059369
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