Hugging Face
Models
Datasets
Spaces
Posts
Docs
Enterprise
Pricing
Log In
Sign Up
15.1
TFLOPS
1
18
Rohith K Bobby
Rohith04
Follow
0 followers
ยท
10 following
Rohith04MVK
AI & ML interests
LLM
Recent Activity
reacted
to
nicolay-r
's
post
with โค๏ธ
7 days ago
๐ข Deligted to share the most recent milestone on quick deployment of Named Entity Recognition (NER) in Gen-AI powered systems. Releasing the bulk-ner 0.25.0 which represent a tiny framework that would save you time for deploing NER with any model. ๐ Why is this important? In the era of GenAI the handling out textual output might be challenging. Instead, recognizing named-entities via domain-oriented systems for your donwstream LLM would be preferable option. ๐ฆ: https://pypi.org/project/bulk-ner/0.25.0/ ๐: https://github.com/nicolay-r/bulk-ner I noticed that the direct adaptaion of the LM for NER would result in spending signifcant amount of time on formatting your texts according to the NER-model needs. In particular: 1. Processing CONLL format with B-I-O tags from model outputs 2. Input trimming: long input content might not be completely fitted To cope with these problems, in version 0.25.0 I made a huge steps forward by providing: โ ๐ Python API support: see screenshot below for a quick deployment (see screenshot below ๐ธ) โ ๐ชถ No-string: dependencies are now clear, so it is purely Python implementation for API calls. โ ๐ Simplified output formatting: we use lists to represent texts with inner lists that refer to annotated objects (see screenshot below ๐ธ) ๐ We have a colab for a quick start here (or screenshot for bash / Python API ๐ธ) https://colab.research.google.com/github/nicolay-r/ner-service/blob/main/NER_annotation_service.ipynb ๐ The code for pipeline deployment is taken from the AREkit project: https://github.com/nicolay-r/AREkit
liked
a model
21 days ago
Efficient-Large-Model/Sana_1600M_1024px_BF16
reacted
to
Xenova
's
post
with โค๏ธ
about 2 months ago
Have you tried out ๐ค Transformers.js v3? Here are the new features: โก WebGPU support (up to 100x faster than WASM) ๐ข New quantization formats (dtypes) ๐ 120 supported architectures in total ๐ 25 new example projects and templates ๐ค Over 1200 pre-converted models ๐ Node.js (ESM + CJS), Deno, and Bun compatibility ๐ก A new home on GitHub and NPM Get started with `npm i @huggingface/transformers`. Learn more in our blog post: https://huggingface.co/blog/transformersjs-v3
View all activity
Organizations
None yet
models
1
Rohith04/ct2fast_m2m100_418M
Translation
โข
Updated
Jan 19, 2024
โข
13
โข
3
datasets
None public yet