Instructions to use avsolatorio/doc-topic-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use avsolatorio/doc-topic-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="avsolatorio/doc-topic-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("avsolatorio/doc-topic-model") model = AutoModelForSequenceClassification.from_pretrained("avsolatorio/doc-topic-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f5e93f836d468e1c60c78389675f826a6f0154d53b97f16a5524270818edc42
- Size of remote file:
- 4.98 kB
- SHA256:
- cd49975059d23c30fbc6ecd9c36c74c08f4762291278031376b4522cf0abc6e8
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