Text Classification
Transformers
PyTorch
Chinese
bert
environment
multi-class
classification
text-embeddings-inference
Instructions to use celtics1863/env-bert-cls-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use celtics1863/env-bert-cls-chinese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="celtics1863/env-bert-cls-chinese")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("celtics1863/env-bert-cls-chinese") model = AutoModelForSequenceClassification.from_pretrained("celtics1863/env-bert-cls-chinese") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot