Instructions to use Theoreticallyhugo/gpt2-full_labels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Theoreticallyhugo/gpt2-full_labels with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Theoreticallyhugo/gpt2-full_labels")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Theoreticallyhugo/gpt2-full_labels") model = AutoModelForTokenClassification.from_pretrained("Theoreticallyhugo/gpt2-full_labels", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97bb4db820bcf89122352ef7d030d229dd813a65cbb12935f5c0aad73be4825f
- Size of remote file:
- 4.66 kB
- SHA256:
- 653ef9bf52d022bf023dfbddb6573c4c7552b5d40dc69f9d4f8fcaed05504308
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