Instructions to use YakovElm/MariaDB5Classic_64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YakovElm/MariaDB5Classic_64 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YakovElm/MariaDB5Classic_64")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YakovElm/MariaDB5Classic_64") model = AutoModelForSequenceClassification.from_pretrained("YakovElm/MariaDB5Classic_64") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e82d29931ec651077a80007cb2d6dae33f5fe9f9f9e18c1e2d92499cb43f349
- Size of remote file:
- 438 MB
- SHA256:
- a58f45620e881007803ff1020f0d6d5665be92dd72d685758338374ad4655b34
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