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
File size: 129 Bytes
5aa4c17 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:fa78472a4dc797b4d71f0ffe7d64c8dc3a68d48b0b457c239d6f5d52d64d2a0a
size 5265
|