Text Classification
Transformers
PyTorch
Chinese
bert
pretrain
environment
classification
topic classification
text-embeddings-inference
Instructions to use celtics1863/env-bert-topic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use celtics1863/env-bert-topic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="celtics1863/env-bert-topic")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("celtics1863/env-bert-topic") model = AutoModelForSequenceClassification.from_pretrained("celtics1863/env-bert-topic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Merge branch 'main' of https://huggingface.co/celtics1863/env-bert-topic into main
Browse files
README.md
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话题分类模型,使用某乎"环境"话题下所有子话题,过滤后得69类。
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top1 acc 60.7,
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top3 acc 81.6,
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可以用于中文环境文本挖掘的预处理步骤。
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话题分类模型,使用某乎"环境"话题下所有子话题,过滤后得69类。
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+
top1 acc 60.7,
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+
top3 acc 81.6,
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可以用于中文环境文本挖掘的预处理步骤。
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