Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use ChiJuiChen/Bert-Lab4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChiJuiChen/Bert-Lab4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ChiJuiChen/Bert-Lab4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ChiJuiChen/Bert-Lab4") model = AutoModelForSequenceClassification.from_pretrained("ChiJuiChen/Bert-Lab4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b0b5090e1486124e9f89649f3d114bf38ef1d4c6c593cec96e4b5d88080c646
- Size of remote file:
- 4.86 kB
- SHA256:
- 8cad03c9b3019b953efcf1f97492a5eefc8fda6c96e66db2d35fab03988c098d
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