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Google Cloud Platform, Security, ETL, Informatica PowerCenter, Python, SQL, cli, gcp, api Preferred Skills : Domain : XChange Software Inc.Iselin, NJPost Resume toView Contact Details &Apply for Job Job Description : Position: Google Cloud Engineer Location: Madison, WI - Fully Remote Phon...
- uses: "actions/setup-python@v5" with: @@ -59,5 +53,23 @@ jobs: - uses: "actions/upload-artifact@v4" with: name: "logo" path: "./assets/logo_build" path: "assets/logo_build" retention-days: 5 build-example: name: "Build example" runs-on: "ubuntu-latest" steps: - use...
Autotest server: A program that copies the client to remote machines and controls their execution. Autotest server executes ''server side control files'', which are also regular python programs, but leverage a higher level API, since the autotest server can control test execution in multiple machi...
They let users run individual steps or entire pipelines on a remote compute system with the framework keeping track of the executed analysis. Scripting frameworks like bpipe [6], Ruffus [7], nestly [8], NGSANE [9], Makeflow [10], and Snakemake [11], let users build bioinformatics ...
Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay...
s Path out of the Pandemic: COVID-19 Action Plan. As a result, Splunk requires U.S. employees, whether assigned to an office or 100% remote, to provide proof of full vaccination, as defined by the CDC. Splunk provides reasonable accommodations for employees who have qualifying medical or ...
Autotest server: A program that copies the client to remote machines and controls their execution. Autotest server executes ''server side control files'', which are also regular python programs, but leverage a higher level API, since the autotest server can control test execution in multiple machi...
from_pretrained(checkpoint, device_map="auto", trust_remote_code=True) prompt = [{"role": "user", "content": "What are the benefits of open-source AI research?"}] inputs = tokenizer.apply_chat_template( prompt, add_generation_prompt=True, return_tensors='pt' ) tokens = model....