Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use BluSerK/bert-BBc-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BluSerK/bert-BBc-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BluSerK/bert-BBc-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BluSerK/bert-BBc-classifier") model = AutoModelForSequenceClassification.from_pretrained("BluSerK/bert-BBc-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e484a5a1b7252887c7d5c100a97a591462bdd0bd051f0db42f268e9b0ec29f5e
- Size of remote file:
- 5.84 kB
- SHA256:
- 1c2e66d967267ce2034db1933e3a771e0d0cba74dfc55c119320e04aad739f4e
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