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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("celtics1863/env-bert-topic") model = AutoModelForSequenceClassification.from_pretrained("celtics1863/env-bert-topic") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d06e8e51abdd17b7efa5fe34d5b9e26a4445be92aaae8ec72e49ada6ea2e1c9
- Size of remote file:
- 409 MB
- SHA256:
- 2989fa733bec644688f86bb245eb0908403a04249372f378eca5515f319b1863
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