Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Trained with AutoTrain
text-embeddings-inference
Instructions to use NawinCom/BBC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NawinCom/BBC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NawinCom/BBC")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NawinCom/BBC") model = AutoModelForSequenceClassification.from_pretrained("NawinCom/BBC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5c3cf0a3b8f808e8fde5ddcf27f7a5f588595087d26f03649853e04d6432912
- Size of remote file:
- 4.98 kB
- SHA256:
- 04cd4891a5678c56ffc974de8b6d91bfc9dd816ddf5efd9f5dc2ee0b42609adb
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