Instructions to use Sahajtomar/GBERTQnA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sahajtomar/GBERTQnA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Sahajtomar/GBERTQnA")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Sahajtomar/GBERTQnA") model = AutoModelForQuestionAnswering.from_pretrained("Sahajtomar/GBERTQnA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a82b9ea663073c4d3372ac7fa3ada9b5ca0b5d78f9178d3bd796f86f25079f4d
- Size of remote file:
- 1.34 GB
- SHA256:
- 3793fdd873d5854046a3a18016898249bb4896dcd1fd67d359b5e67975438610
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