Instructions to use prajwalJumde/QA_SYNTHETIC_DATA_ONLY_18_AUG_distilbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prajwalJumde/QA_SYNTHETIC_DATA_ONLY_18_AUG_distilbert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="prajwalJumde/QA_SYNTHETIC_DATA_ONLY_18_AUG_distilbert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("prajwalJumde/QA_SYNTHETIC_DATA_ONLY_18_AUG_distilbert-base") model = AutoModelForQuestionAnswering.from_pretrained("prajwalJumde/QA_SYNTHETIC_DATA_ONLY_18_AUG_distilbert-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 209a82abb46309eab118ef487370976b00efc009784679d10c6418f38a14832f
- Size of remote file:
- 4.03 kB
- SHA256:
- 212f51cc1b3c7ade38c3dfc5e54b8eebbfcfd80b62373a8ed4da8358f311f758
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