Instructions to use ToluClassics/extractive_reader_nq_squad_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ToluClassics/extractive_reader_nq_squad_v2 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="ToluClassics/extractive_reader_nq_squad_v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ToluClassics/extractive_reader_nq_squad_v2") model = AutoModelForQuestionAnswering.from_pretrained("ToluClassics/extractive_reader_nq_squad_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download all_results.json from ToluClassics/extractive_reader_nq_squad_v2: direct link, hf CLI and curl.
- Browser
- Download file 696 Bytes
-
https://huggingface.co/ToluClassics/extractive_reader_nq_squad_v2/resolve/main/all_results.json
- Command line
-
hf download hf://ToluClassics/extractive_reader_nq_squad_v2/all_results.json
-
curl -L -o all_results.json https://huggingface.co/ToluClassics/extractive_reader_nq_squad_v2/resolve/main/all_results.json
696 Bytes
| { | |
| "epoch": 5.0, | |
| "eval_HasAns_exact": 66.31241565452092, | |
| "eval_HasAns_f1": 73.4901016259293, | |
| "eval_HasAns_total": 5928, | |
| "eval_NoAns_exact": 72.04373423044575, | |
| "eval_NoAns_f1": 72.04373423044575, | |
| "eval_NoAns_total": 5945, | |
| "eval_best_exact": 69.18217805104018, | |
| "eval_best_exact_thresh": 0.0, | |
| "eval_best_f1": 72.76588245923614, | |
| "eval_best_f1_thresh": 0.0, | |
| "eval_exact": 69.18217805104018, | |
| "eval_f1": 72.76588245923611, | |
| "eval_samples": 12204, | |
| "eval_total": 11873, | |
| "train_loss": 0.8785118254506847, | |
| "train_runtime": 11833.1715, | |
| "train_samples": 132115, | |
| "train_samples_per_second": 55.824, | |
| "train_steps_per_second": 0.873 | |
| } |