Instructions to use anuragsingh28/QA_SYNTHETIC_DATA_ONLY_17_AUG_BASE_NEW_FINETUNED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anuragsingh28/QA_SYNTHETIC_DATA_ONLY_17_AUG_BASE_NEW_FINETUNED with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="anuragsingh28/QA_SYNTHETIC_DATA_ONLY_17_AUG_BASE_NEW_FINETUNED")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("anuragsingh28/QA_SYNTHETIC_DATA_ONLY_17_AUG_BASE_NEW_FINETUNED") model = AutoModelForQuestionAnswering.from_pretrained("anuragsingh28/QA_SYNTHETIC_DATA_ONLY_17_AUG_BASE_NEW_FINETUNED", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d635ea8134ec59f391276836d024babf97938aff20d8223b29dd78e0beced114
- Size of remote file:
- 4.03 kB
- SHA256:
- 577007738f47eb3d1fd96b43fb06f0dcca6289d4d17d252ad103958d0304ee09
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