Question Answering
Transformers
PyTorch
TensorFlow
JAX
Rust
Safetensors
English
roberta
Eval Results (legacy)
Instructions to use nishanthai/Rectrix_test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nishanthai/Rectrix_test1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="nishanthai/Rectrix_test1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nishanthai/Rectrix_test1") model = AutoModelForQuestionAnswering.from_pretrained("nishanthai/Rectrix_test1") - Notebooks
- Google Colab
- Kaggle
Gated model You can list files but not access them
Preview of files found in this repository