Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use agi-css/distilroberta-base-etc-nlp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agi-css/distilroberta-base-etc-nlp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="agi-css/distilroberta-base-etc-nlp", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("agi-css/distilroberta-base-etc-nlp") model = AutoModelForSequenceClassification.from_pretrained("agi-css/distilroberta-base-etc-nlp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training completed!
Browse files
pytorch_model.bin
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runs/Apr23_00-18-04_lambda-server/events.out.tfevents.1650687494.lambda-server.3009829.0
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