Instructions to use Yannis98/squad_v2_albert_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yannis98/squad_v2_albert_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Yannis98/squad_v2_albert_finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Yannis98/squad_v2_albert_finetuned") model = AutoModelForQuestionAnswering.from_pretrained("Yannis98/squad_v2_albert_finetuned") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Base_Albert
- checkpoint-1000
- checkpoint-2000
- checkpoint-3000
- checkpoint-4000
- checkpoint-4124
- runs
- 1.84 kB
- 1.21 kB
- 23.4 MB xet
- 849 Bytes
- 74.8 MB xet
- 616 kB
- 1.91 MB
- 649 Bytes
- 21.5 MB xet
- 1.91 MB
- 44.4 MB xet
- 74.8 MB xet
- 616 kB
- 1.91 MB
- 656 Bytes
- 656 Bytes
- 970 Bytes
- 2.27 MB
- 1.25 kB
- 234 Bytes
- 2.38 kB
- 5.43 kB xet