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
- Xet hash:
- ff5ba33b013ddad882574a43d142460db01a1328ef1038efad85e091ec8b9559
- Size of remote file:
- 3.12 kB
- SHA256:
- e44a4a85b01167bd1f6fb4a2c0a4af479c3d925ecbbb478d1a0cb0544204a22e
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