AI & LLM Engineering · By waybarrios

Train or fine-tune language models with TRL or Unsloth on Hugging Face Jobs, including SFT, DPO, GRPO, reward models, and GGUF conversion.

waybarrios/opencode-power-pack

Train object-detection, image-classification, or SAM segmentation models on Hugging Face Jobs.

waybarrios/opencode-power-pack

Train or fine-tune SentenceTransformer bi-encoders, CrossEncoder rerankers, or SparseEncoder models, including losses, negatives, evaluation, distillation, LoRA, and Matryoshka.

waybarrios/opencode-power-pack

Implement a production SageMaker endpoint with autoscaling, CloudWatch alarms, and tags.

waybarrios/opencode-power-pack

Select and verify the current region-specific serving container URI for a SageMaker model deployment.

waybarrios/opencode-power-pack

Build, deploy, debug, or maintain a Hugging Face Space using Gradio, Docker, or Static SDKs.

waybarrios/opencode-power-pack

Train and fine-tune transformer language models using TRL (Transformers Reinforcement Learning).

waybarrios/opencode-power-pack

Run Hugging Face models in JavaScript or TypeScript with Transformers.js, WebGPU, or WASM across browser, Node.js, Bun, and Deno.

waybarrios/opencode-power-pack

Find and compare recommended Hugging Face models for a task using benchmarks, model size, and device constraints.

waybarrios/opencode-power-pack

Plan and coordinate a model deployment to Amazon SageMaker, including serving stack and real-time versus async inference.

waybarrios/opencode-power-pack