Instructions to use trl-internal-testing/tiny-GPTNeoXForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trl-internal-testing/tiny-GPTNeoXForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="trl-internal-testing/tiny-GPTNeoXForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("trl-internal-testing/tiny-GPTNeoXForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("trl-internal-testing/tiny-GPTNeoXForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7cc67b21520bea512def818d835d290e7249ceda20df48db95c1b57d78470025
- Size of remote file:
- 1.62 MB
- SHA256:
- 147335e6f9687417b9d4f779774a7bf7c0894a4980796a50fdbb5f26fb2dd5ad
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