kmcquade

• chime:CreateApiKey
• codepipeline:PollForJobs
• cognito-identity:GetOpenIdToken
• cognito-identity:GetOpenIdTokenForDeveloperIdentity
• cognito-identity:GetCredentialsForIdentity
• connect:GetFederationToken
• connect:GetFederationTokens
• ecr:GetAuthorizationToken
• [gamelift:RequestUploadCredentials](ht

nateraw

function TRANSLATE(text, repo_id="Helsinki-NLP/opus-mt-en-es") {
  endpoint = "https://api-inference.huggingface.co/pipeline/translation/" + repo_id;
  const payload = JSON.stringify({
    "inputs": text
  });

  // Add your token from https://huggingface.co/settings/token
  const options = {
      "headers":  {"Authorization": "Bearer <YOUR HUGGINGFACE API KEY>"},
      "wait_for_model": true,

motaher13

GROKKING NOTES

The following problems are equvalent of Grokking the coding interview course, and solutions are also attached

Pattern: Sliding Window

• Maximum Subarray # Close enough -> Solution
• Minimum Size Subarray Sum -> Solution
• Longest Substring with At Most K Distinct Characters -> Solution
• Fruit Into Baskets -> [Solution](https://github.com/motaher13/Solved-OJ-problems/blob/master/LeetCode/Array/Fruit

adrienbrault

# Clone llama.cpp
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp

# Build it
make clean
LLAMA_METAL=1 make

# Download model
export MODEL=llama-2-13b-chat.ggmlv3.q4_0.bin