Instructions to use alistvt/fudnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alistvt/fudnet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alistvt/fudnet")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alistvt/fudnet") model = AutoModelForSequenceClassification.from_pretrained("alistvt/fudnet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ad005b1de8efe327e1047e5118042d2dfb18f3728a7d813164d138e104eb9f5
- Size of remote file:
- 2.99 kB
- SHA256:
- 87e7a4645148fb0fcec2ecd7f9f424042eab220667c4d8cc5a2e2e12e2a35463
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