Comments (2)
Requested:
- K80 * 1
- V100 * 1
- P100 * 1
from transformersum.
One annoying thing about GCP is that you need to request GPU quotas before you create a VM instance with GPU capabilities (https://cloud.google.com/compute/quotas). I requested three types (one for each) but based on my experience they won't approve all of them and depending on the availabilities it could take a while to get approved.
@stephanieeechang @andywang268 I highly suggest you also activate your own personal GCP account and request the GPU quotas for your account to have a higher chance of getting GPUs for either your personal accounts or our project account.
from transformersum.
Related Issues (18)
- Testing on Abstractive Summarizer HOT 3
- Test instructions on README.md HOT 1
- Setup GCP on personal accounts and request GPUs HOT 2
- Use the built-in data prep functions in the original BillSum repo HOT 5
- Reference (constantly updated)
- Integrate DANCER-summ
- Labeling Function HOT 1
- DANCER (Part 1) HOT 3
- Preprocess BillSum Dataset HOT 5
- DANCER (Part 2) HOT 1
- DANCER (Part 3)
- Fix Combination and Greedy strategies HOT 1
- Note: How to Use this Repo
- Calculate statistics of BillSum HOT 1
- Replace the main README.md
- Modify convert_to_extractive.py
- Test Training with Extractive BillSum (TransformerSum style) HOT 2
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from transformersum.