Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use DerivedFunction1/roberta-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DerivedFunction1/roberta-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DerivedFunction1/roberta-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DerivedFunction1/roberta-v2") model = AutoModelForSequenceClassification.from_pretrained("DerivedFunction1/roberta-v2") - Notebooks
- Google Colab
- Kaggle
Commit ·
f5d2d9f
1
Parent(s): 0f2d3dd
Training in progress, step 15720
Browse files
runs/Jun11_03-52-36_3d6886d72f16/events.out.tfevents.1781149956.3d6886d72f16.3913.0
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