Hi All,
I am not able to select large kernel: Recommended is “8vCPU + 32 GiB” but I am not able to select anything else other than “2vCPU + 4 GiB”. And because of that Lab is crashing and Kernal is getting restarted on following code:
toxicity_evaluator = evaluate.load(“toxicity”,
toxicity_model_name,
module_type=“measurement”,
toxic_label=“hate”)
Please help as tomorrow is the last date of submission. I need to finish this.
Regards,
Bharat
Hi,
It’s important to select the instance with the exact name as provided in the instructions. When I did this course the instance name was: Ml.m5.2xlarge.
For me it is not letting me select large but only Medium.
The python notebook is not letting me select any instance type other than the default ml.m5.medium 2 vCPU and 4 GiB RAM.
Someone said you should select the second instance ml.m5.2xlarge.
If it doesn’t work, use this form to ask for help.
I have struggled with this issue for several days.
The team at Vocareum have confirmed they can’t change the machine on their side; it needs to be done by Coursera.
This is very disappointing. Every lab for me has been riddled with various problems, as noted here and elsewhere.
Okay, it has loaded the “right” kernel and I’ve been able to complete the lab.
Unfortunately, I can’t offer any guidance as to why it started to work. I have tried it over 20 times across three days and two different laptops. I tried all the kernels equivalent to the target spec (ml.m5.2xlarge).
After posting here, I gave it one more go and it worked. I can’t explain why.