Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Anwaarma/BP-test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anwaarma/BP-test1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Anwaarma/BP-test1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Anwaarma/BP-test1") model = AutoModelForSequenceClassification.from_pretrained("Anwaarma/BP-test1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab03f01e56834b66543cbf015faf5c7920dc47f52f1436e614008f523f51b5fb
- Size of remote file:
- 4.54 kB
- SHA256:
- fc798fd28b66e89a6bc16085e94d991dfada952672ce5004b07ca988a4ba1130
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