Text Classification
Transformers
PyTorch
Safetensors
Chinese
bert
classification
text-embeddings-inference
Instructions to use Herais/pred_timeperiod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Herais/pred_timeperiod with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Herais/pred_timeperiod")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Herais/pred_timeperiod") model = AutoModelForSequenceClassification.from_pretrained("Herais/pred_timeperiod", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (db8047606dca455472ce424070ba6eed53486823) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>396b578
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