Instructions to use hf-internal-testing/tiny-random-YosoForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-YosoForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-YosoForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-YosoForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-YosoForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76ad6f3478a59e3eb587342dbb5a35cb7a9bfcfa69e23a684331ab23d266be0b
- Size of remote file:
- 353 kB
- SHA256:
- d7dfb30dcd006ba7d15a7063d4a70b212ae4dc737480c43ddb9e534426fa2ed3
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