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:
- be6dc8027f537fc281f9c58dc8a8b082019f9695f317fb1f8acc564fe5af93fa
- Size of remote file:
- 42.3 MB
- SHA256:
- 28357c54c98a4d4c266711b1c61a06186583557032281cdef136a330e294a063
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