Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Raychanan/bert-bert-cased-first512-Conflict-SEP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raychanan/bert-bert-cased-first512-Conflict-SEP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Raychanan/bert-bert-cased-first512-Conflict-SEP")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Raychanan/bert-bert-cased-first512-Conflict-SEP") model = AutoModelForSequenceClassification.from_pretrained("Raychanan/bert-bert-cased-first512-Conflict-SEP") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
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