Text Classification
Transformers
Safetensors
English
distilbert
topic
multi-sentiment
text-embeddings-inference
Instructions to use AfroLogicInsect/topic-model-analysis-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AfroLogicInsect/topic-model-analysis-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AfroLogicInsect/topic-model-analysis-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AfroLogicInsect/topic-model-analysis-model") model = AutoModelForSequenceClassification.from_pretrained("AfroLogicInsect/topic-model-analysis-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9a099e1996d5db02bce006895395d5d014671041b8f571761111e626faabbfe
- Size of remote file:
- 268 MB
- SHA256:
- a891144b38b778f5697e66438d3e488814fdeafa72b47113a2781b9aadea774f
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