Instructions to use phunganhsang/model_segment_content_DEFI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phunganhsang/model_segment_content_DEFI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="phunganhsang/model_segment_content_DEFI")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("phunganhsang/model_segment_content_DEFI") model = AutoModelForSequenceClassification.from_pretrained("phunganhsang/model_segment_content_DEFI") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2a5bd372fbb82ec441b0a829b8267a0e287e393341789327087411a4b473c10
- Size of remote file:
- 5.2 kB
- SHA256:
- 91f869a45687d6cf15f76e01bcb2ffacec9a29ed132391b04f0ad9211a267f12
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