Text Classification
Transformers
Safetensors
English
roberta
topic-classification
small-model
synthetic-data
tanaos
artifex
text-embeddings-inference
Instructions to use tanaos/tanaos-topic-classification-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tanaos/tanaos-topic-classification-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tanaos/tanaos-topic-classification-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tanaos/tanaos-topic-classification-v1") model = AutoModelForSequenceClassification.from_pretrained("tanaos/tanaos-topic-classification-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 957 Bytes
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"cells": [
{
"cell_type": "markdown",
"id": "b71a1322",
"metadata": {},
"source": [
"# Get started with `tanaos-topic-classification-v1`"
]
},
{
"cell_type": "markdown",
"id": "faec5d77",
"metadata": {},
"source": [
"Use the [Artifex library](https://github.com/tanaos/artifex). Install it with\n",
"\n",
"```bash\n",
"pip install artifex\n",
"```"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "54ba7ee0",
"metadata": {
"vscode": {
"languageId": "plaintext"
}
},
"outputs": [],
"source": [
"from artifex import Artifex\n",
"\n",
"topic_classification = Artifex().topic_classification()\n",
"\n",
"topic = topic_classification(\"What do you think about the latest AI advancements?\")\n",
"print(topic)"
]
}
],
"metadata": {
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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