Instructions to use hf-internal-testing/tiny-random-CTRLForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-CTRLForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-CTRLForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-CTRLForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-CTRLForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a22c1e06191b418ace59b3cfb59669611d3a9215f4e6ead489706357b8d1f33b
- Size of remote file:
- 42.3 MB
- SHA256:
- ce3e23cb30c788ffcb49509ab4880f274d619459d3f2348cea4dee8a5d5eed26
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