Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use nouman-10/bert-cased-exist-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nouman-10/bert-cased-exist-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nouman-10/bert-cased-exist-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nouman-10/bert-cased-exist-2") model = AutoModelForSequenceClassification.from_pretrained("nouman-10/bert-cased-exist-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd3459008ec205ffb2d60db57fe8b38ac8e70857afe24374e82bac4f56e3436b
- Size of remote file:
- 3.58 kB
- SHA256:
- 341c7cf74146e3fb59496ddf71eac98200420206afb33a1a7e041f00e828e768
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