Instructions to use gg-ai/tiny-quantized_train-2601 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gg-ai/tiny-quantized_train-2601 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gg-ai/tiny-quantized_train-2601")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gg-ai/tiny-quantized_train-2601") model = AutoModelForSequenceClassification.from_pretrained("gg-ai/tiny-quantized_train-2601") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7891b8243b9764ee906c9ae225210bf98e2b3da31b4076cefc1dfc66e872dc8
- Size of remote file:
- 21.4 MB
- SHA256:
- 44e36a19ada13337404bcb63fd82f618f13f16852febff3423ae4c024b91f6e6
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