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 emissions.csv from shaina/covid_qa_distillBert: direct link, hf CLI and curl.
- Browser
- Download file 300 Bytes
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https://huggingface.co/shaina/covid_qa_distillBert/resolve/main/emissions.csv
- Command line
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hf download hf://shaina/covid_qa_distillBert/emissions.csv
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curl -L -o emissions.csv https://huggingface.co/shaina/covid_qa_distillBert/resolve/main/emissions.csv
300 Bytes
| timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region | |
| 2021-12-18T20:19:32,12997292-d032-4aa4-88d9-8e91204a52dd,codecarbon,17107.252427577972,0.4039660388152418,0.8925044120814012,United States,USA,iowa,N,, | |