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:
- b24d828e4a09c4feed93ca2d18a24e2b32e210eb6f46b13739bb249b7870318c
- Size of remote file:
- 2.86 kB
- SHA256:
- b7fc2a68237ee8e16f7d641ff906b77082f8c10d56147814cb54eefe203def42
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