Instructions to use asm3515/gptneo-agnews-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asm3515/gptneo-agnews-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="asm3515/gptneo-agnews-full")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("asm3515/gptneo-agnews-full") model = AutoModelForSequenceClassification.from_pretrained("asm3515/gptneo-agnews-full") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42778775f4164c390a51a796d028668b4c847cb2798cc545867bc32c72864d9b
- Size of remote file:
- 501 MB
- SHA256:
- 9aea92aeeb65349293bd5c47efeef8e6d805afb7c431983caeab7c451ed71e30
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