Instructions to use shaina/covid_qa_distillBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shaina/covid_qa_distillBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="shaina/covid_qa_distillBert")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("shaina/covid_qa_distillBert") model = AutoModelForQuestionAnswering.from_pretrained("shaina/covid_qa_distillBert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from shaina/covid_qa_distillBert: direct link, hf CLI and curl.
- Browser
- Download file 265 MB
-
https://huggingface.co/shaina/covid_qa_distillBert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://shaina/covid_qa_distillBert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/shaina/covid_qa_distillBert/resolve/main/pytorch_model.bin
265 MB
- Xet hash:
- ab418986ffb01797506bb955aa00685e0cae358a9f6c3a39ea9af56e4af933d1
- Size of remote file:
- 265 MB
- SHA256:
- d75f8efbb6cb6fcff815d79ae0fa40ae1baea2d58c9c48a284dfbb5086a0cf69
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