Instructions to use Logeswaransr/sample_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Logeswaransr/sample_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Logeswaransr/sample_finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Logeswaransr/sample_finetuned") model = AutoModelForQuestionAnswering.from_pretrained("Logeswaransr/sample_finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 622c40c5750e644fb2987dbec623e5e2faa8172049dbd9b24e801ba931262ad2
- Size of remote file:
- 4.03 kB
- SHA256:
- 1b7c497be256c921d12661d1b7fa136bdf9f70aa012292199620c33156f982ea
路
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