Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use esslushy/bert-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use esslushy/bert-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="esslushy/bert-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("esslushy/bert-classification") model = AutoModelForSequenceClassification.from_pretrained("esslushy/bert-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ea1ea330eb63fb26630f9938497618b30efc7bd48dfd273496251931485a242
- Size of remote file:
- 5.24 kB
- SHA256:
- cad2abe452d174a0d97dd6785f91c9dc56f94bb2835cb6e8a66d8a8ebedc18dd
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