Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use wlog/bcb_perf_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wlog/bcb_perf_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wlog/bcb_perf_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wlog/bcb_perf_roberta") model = AutoModelForSequenceClassification.from_pretrained("wlog/bcb_perf_roberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdd18174aa2359289cb28cc61207f39cd33456bbf387e7dbc822dce8c6d63e7e
- Size of remote file:
- 5.78 kB
- SHA256:
- 96cc86a2efd00419261ed3b24bd1a84b47cc928d31831eb49f1e07fc8d434dae
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