Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use leomaurodesenv/roberta-base-answerable-or-not 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 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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leomaurodesenv/roberta-base-answerable-or-not") model = AutoModelForSequenceClassification.from_pretrained("leomaurodesenv/roberta-base-answerable-or-not", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebd9c5b43470b7c08b943d388e299f9daabf15314cc8d6a4d463f7b2f4357800
- Size of remote file:
- 5.27 kB
- SHA256:
- 20fffce0fa81c328ce0f7242b4baa2ad2830d52407b4cb70a1feccf0855b6041
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