Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Raychanan/bert-bert-cased-first512-Conflict 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 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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Raychanan/bert-bert-cased-first512-Conflict") model = AutoModelForSequenceClassification.from_pretrained("Raychanan/bert-bert-cased-first512-Conflict") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4cbe3643421d3a91ff4028dd7c84031c15acbd51e126a2155e1ed0b0d0a5778
- Size of remote file:
- 433 MB
- SHA256:
- 17d179945b271afc53921f55513c977fcb78015dd33b39cc939e60ed5ac336cf
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