Instructions to use trl-internal-testing/tiny-Qwen3MoeForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trl-internal-testing/tiny-Qwen3MoeForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="trl-internal-testing/tiny-Qwen3MoeForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("trl-internal-testing/tiny-Qwen3MoeForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("trl-internal-testing/tiny-Qwen3MoeForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2bfc2c4e93f2fde4df1c672bbd5ba6c5fa967026447ec0d0f5fce866b09bb306
- Size of remote file:
- 5.56 MB
- SHA256:
- 8895190998a8d6fad1c0da1d001ecdca3c410f6ebc749ed9c3ed1b20631d21b6
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