Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use leomaurodesenv/roberta-base-answerable-or-not-augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leomaurodesenv/roberta-base-answerable-or-not-augmented with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leomaurodesenv/roberta-base-answerable-or-not-augmented")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leomaurodesenv/roberta-base-answerable-or-not-augmented") model = AutoModelForSequenceClassification.from_pretrained("leomaurodesenv/roberta-base-answerable-or-not-augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b13fc8d2ae6863388993e304cb206739675d62d8d167d524131083667ac17180
- Size of remote file:
- 5.27 kB
- SHA256:
- fa78472a4dc797b4d71f0ffe7d64c8dc3a68d48b0b457c239d6f5d52d64d2a0a
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