A collection with text-classification and token-classification models for PII Protection
Alvaro Bartolome
alvarobartt
AI & ML interests
machine learning @huggingface (inference + cloud)
Recent Activity
posted an
update
about 21 hours ago
Learn how to deploy Microsoft Research VibeVoice ASR on Microsoft Azure Foundry with Hugging Face to generate rich audio transcriptions with Who, When, and What! 💥
> 🕒 60-minute single-pass processing, no chunking or stitching
> 👤 Customized hotwords to guide recognition on domain-specific content
> 📝 Rich transcription: joint ASR + diarization + timestamping in one pass
> 🌍 50+ languages with automatic detection and code-switching support
> 🤗 Deployed on Microsoft Foundry via an OpenAI-compatible Chat Completions API
https://huggingface.co/docs/microsoft-azure/foundry/examples/deploy-vibevoice-asr new activity
about 24 hours ago
huggingface/documentation-images:Add images for VibeVoice ASR example liked
a model 2 days ago
microsoft/VibeVoice-ASR-HF Organizations
![[INTERNAL] Hugging Face + Dell's profile picture](https://cdn-avatars.huggingface.co/v1/production/uploads/60f0608166e5701b80ed3f02/otGPyK6OMlrQrkngKw4tJ.png)
This collection contains some Critique Models (CM) for LLM evaluation available in the HuggingFace Hub
Small to medium size datasets either: synthetically generated, labelled with AI Feedback (AIF), or both
Fine-tuned models to perform NER in Spanish using the framework SpanMarker and different encoders and datasets
Reading list to fully understand GPT (and GPT-2) and to be able to implement those from scratch
-
Neural Machine Translation of Rare Words with Subword Units
Paper • 1508.07909 • Published • 4 -
Attention Is All You Need
Paper • 1706.03762 • Published • 115 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 26 -
Generating Wikipedia by Summarizing Long Sequences
Paper • 1801.10198 • Published • 3
Text-To-Image fine-tunes with Studio Ghibli style
Contains some information and experiments fine-tuning LLMs using 🤗 `trl.ORPOTrainer`
-
ORPO: Monolithic Preference Optimization without Reference Model
Paper • 2403.07691 • Published • 72 -
HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1
Text Generation • 141B • Updated • 206 • 269 -
alvarobartt/mistral-orpo-mix
Text Generation • 7B • Updated • 4 • 1 -
alvarobartt/Mistral-7B-v0.1-ORPO
Text Generation • 7B • Updated • 14 • 14
This collection contains the model weights for 7B LLMs for Apple's MLX framework. Find more information at https://github.com/ml-explore/mlx
This collection contains some datasets for LLM evaluation in Spanish, from nlp.uoregon.edu, translated using ChatGPT (including English counterparts)
A collection with text-classification and token-classification models for PII Protection
Text-To-Image fine-tunes with Studio Ghibli style
This collection contains some Critique Models (CM) for LLM evaluation available in the HuggingFace Hub
Contains some information and experiments fine-tuning LLMs using 🤗 `trl.ORPOTrainer`
-
ORPO: Monolithic Preference Optimization without Reference Model
Paper • 2403.07691 • Published • 72 -
HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1
Text Generation • 141B • Updated • 206 • 269 -
alvarobartt/mistral-orpo-mix
Text Generation • 7B • Updated • 4 • 1 -
alvarobartt/Mistral-7B-v0.1-ORPO
Text Generation • 7B • Updated • 14 • 14
Small to medium size datasets either: synthetically generated, labelled with AI Feedback (AIF), or both
This collection contains the model weights for 7B LLMs for Apple's MLX framework. Find more information at https://github.com/ml-explore/mlx
Fine-tuned models to perform NER in Spanish using the framework SpanMarker and different encoders and datasets
This collection contains some datasets for LLM evaluation in Spanish, from nlp.uoregon.edu, translated using ChatGPT (including English counterparts)
Reading list to fully understand GPT (and GPT-2) and to be able to implement those from scratch
-
Neural Machine Translation of Rare Words with Subword Units
Paper • 1508.07909 • Published • 4 -
Attention Is All You Need
Paper • 1706.03762 • Published • 115 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 26 -
Generating Wikipedia by Summarizing Long Sequences
Paper • 1801.10198 • Published • 3