Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use chiakelvin/bert-webpage-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chiakelvin/bert-webpage-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chiakelvin/bert-webpage-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chiakelvin/bert-webpage-classifier") model = AutoModelForSequenceClassification.from_pretrained("chiakelvin/bert-webpage-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05be002944cddde07e4914dc304c83e2b8f512cd838ccae01b6267e35cd20597
- Size of remote file:
- 5.84 kB
- SHA256:
- 3c5685e9c85226e8ba82bc43115b35a3f734a26c470c06a7d455ec94d031d396
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