Text Classification
Transformers
TensorBoard
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use roncc13/autotrain-ygw4o-bjfp0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roncc13/autotrain-ygw4o-bjfp0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="roncc13/autotrain-ygw4o-bjfp0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("roncc13/autotrain-ygw4o-bjfp0") model = AutoModelForSequenceClassification.from_pretrained("roncc13/autotrain-ygw4o-bjfp0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Downloads last month
- 3
Model tree for roncc13/autotrain-ygw4o-bjfp0
Base model
dost-asti/BERT-ceb-cased