Colin Carter PRO

colin-r-carter

AI & ML interests

Legal, Legaltech, Law, Access to Justice. Beside my work in the legal domain as a legal engineer and tech-lawyer, I am writing my PhD Thesis on automated decision making in criminal law.

Recent Activity

liked a model about 1 month ago

neuphonic/neutts-air

liked a model 4 months ago

elenanereiss/German-legal-NER-flert

new activity about 1 year ago

kyutai/moshiko-pytorch-bf16:What's the differences between moshiko and moshika?

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Organizations

liked a model about 1 month ago

neuphonic/neutts-air

Text-to-Speech • 0.7B • Updated Oct 10 • 36.2k • 745

liked a model 4 months ago

elenanereiss/German-legal-NER-flert

Token Classification • Updated Jul 21 • 26 • 2

New activity in kyutai/moshiko-pytorch-bf16 about 1 year ago

What's the differences between moshiko and moshika?

#2 opened about 1 year ago by

DrNicefellow

upvoted a collection about 1 year ago

Moshi v0.1 Release

Collection

MLX, Candle & PyTorch model checkpoints released as part of the Moshi release from Kyutai. Run inference via: https://github.com/kyutai-labs/moshi • 15 items • Updated Apr 18 • 240

liked a Space over 1 year ago

MInference

🌍

Generate text responses to user queries

liked a model over 1 year ago

numind/NuExtract

Text Generation • 4B • Updated Oct 17, 2024 • 317 • 227

liked 2 Spaces over 1 year ago

NuExtract

👀

Ratchet + Whisper

🗣

Convert audio to text

liked a dataset over 1 year ago

urchade/synthetic-pii-ner-mistral-v1

Updated Apr 20, 2024 • 254 • 13

liked 4 models over 1 year ago

louisbrulenaudet/tsdae-lemone-mbert-base

reacted to louisbrulenaudet's post with ❤️ over 1 year ago

Post

2270

LegalKit Retrieval, a binary Search with Scalar (int8) Rescoring through French legal codes is now available as a 🤗 Space.

This process is designed to be memory efficient and fast, with the binary index being small enough to fit in memory and the int8 index being loaded as a view. Additionally, the binary index is much faster (up to 32x) to search than the float32 index, while the rescoring is also extremely efficient.

This space also showcases the tsdae-lemone-mbert-base, a sentence embedding model based on BERT fitted using Transformer-based Sequential Denoising Auto-Encoder for unsupervised sentence embedding learning with one objective : french legal domain adaptation.

Link to the 🤗 Space : louisbrulenaudet/legalkit-retrieval

Notes:
The SentenceTransformer model currently in use is in beta and may not be suitable for direct use in production.