Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use wlog/bcb_cost_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wlog/bcb_cost_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wlog/bcb_cost_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wlog/bcb_cost_roberta") model = AutoModelForSequenceClassification.from_pretrained("wlog/bcb_cost_roberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1518ac50ca0b43d1bc02cd2e80a908dcdda5c677bf79f25be53c05eec0cc8df8
- Size of remote file:
- 5.78 kB
- SHA256:
- 246bd1f91f2e03f61cd7297e1c74bedb49758531d9420f93c323c6d923d768e6
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