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:
- 1322b4e556046255c59915017e0edc8d0d9d118388786e6658595ea63b82d0be
- Size of remote file:
- 17.1 MB
- SHA256:
- da0622cea7b6d2fd81dcd20fd6816f8d0ff407f2677819e942bb5889d026c9a3
路
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