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https://huggingface.co/robcost/activity/likes | Rob Costello PRO
robcost
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None yet
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robcost's likes
liked a space about 2 months ago
liked a space 7 months ago
liked a space over 1 year ago
liked a model over 1 year ago
liked a space over 1 year ago |
https://huggingface.co/docs/hub/datasets-usage | Using 🤗 Datasets
Once you’ve found an interesting dataset on the Hugging Face Hub, you can load the dataset using 🤗 Datasets. You can click on the Use in dataset library button to copy the code to load a dataset.
Some datasets on the Hub contain a loading script, which allows you to easily load the dataset when you n... |
https://huggingface.co/deprem-ml | Neler yaptık? ❤️🩹
Adres Tanıma
Etiketli veriden NER modeli eğittik, en iyi bunlar çalışıyor: deprem-ner ve deprem-ner-mdebertav3
Şu modelleri zero-shot benchmark ettik, son modelleri kendimiz eğittik 👇
- convbert-base-turkish-ner (xlm-roberta-turkish-ner'le birebir çalışıyor)
- xlm_roberta_large_df
- xlm-roberta... |
https://huggingface.co/wanghaod/activity/likes | tony wang
wanghaod
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wanghaod's likes
liked 2 models 7 months ago |
https://huggingface.co/docs/hub/datasets-adding | Adding new datasets
Any Hugging Face user can create a dataset! You can start by creating your dataset repository and choosing one of the following methods to upload your dataset:
Add files manually to the repository through the UI
Push files with the push_to_hub method from 🤗 Datasets
Use Git to commit and push your ... |
https://huggingface.co/aastha6/activity/upvotes | Aastha Varma
aastha6
Research interests
LLM: quantization, fine tuning, optimizations | NLP | Deep Learning
Organizations
aastha6's upvotes
upvoted a paper 29 days ago |
https://huggingface.co/dineshmane/bert-finetuned-mrpc | No model card
New: Create and edit this model card directly on the website!
Contribute a Model Card
Downloads last month3
Hosted inference API
Text Classification
Model state unknown |
https://huggingface.co/nehanejh/demo | No model card
New: Create and edit this model card directly on the website!
Contribute a Model Card
Downloads last month0
Hosted inference API
Unable to determine this model’s pipeline type. Check the docs . |
https://huggingface.co/docs/hub/spaces-sdks-gradio | Gradio Spaces
Gradio provides an easy and intuitive interface for running a model from a list of inputs and displaying the outputs in formats such as images, audio, 3D objects, and more. Gradio now even has a Plot output component for creating data visualizations with Matplotlib, Bokeh, and Plotly! For more details, ta... |
https://huggingface.co/docs/hub/spaces-sdks-static | Static HTML Spaces
Spaces also accommodate custom HTML for your app instead of using Streamlit or Gradio. Set sdk: static inside the YAML block at the top of your Spaces README.md file. Then you can place your HTML code within an index.html file.
Here are some examples of Spaces using custom HTML:
Smarter NPC: Display ... |
https://huggingface.co/aastha6/activity/likes | Aastha Varma
aastha6
Research interests
LLM: quantization, fine tuning, optimizations | NLP | Deep Learning
Organizations
aastha6's likes
liked a model 9 minutes ago
liked a model 14 days ago
liked 4 models about 1 month ago
liked a model about 2 months ago
liked 2 datasets about 2 months ago
liked a model about 2 m... |
https://huggingface.co/docs/hub/spaces-storage | Disk usage on Spaces
Every Space comes with a small amount of disk storage. This disk space is ephemeral, meaning its content will be lost if your Space restarts or is stopped. If you need to persist data with a longer lifetime than the Space itself, you can:
Subscribe to a persistent storage upgrade
Use a dataset as a... |
https://huggingface.co/docs/hub/spaces-overview | Spaces Overview
Hugging Face Spaces make it easy for you to create and deploy ML-powered demos in minutes. Watch the following video for a quick introduction to Spaces:
In the following sections, you’ll learn the basics of creating a Space, configuring it, and deploying your code to it.
Creating a new Space
To make a n... |
https://huggingface.co/aastha6/activity/community | Aastha Varma
aastha6
Research interests
LLM: quantization, fine tuning, optimizations | NLP | Deep Learning
Organizations
aastha6's community activity |
https://huggingface.co/docs/hub/spaces-sdks-docker | Docker Spaces
Spaces accommodate custom Docker containers for apps outside the scope of Streamlit and Gradio. Docker Spaces allow users to go beyond the limits of what was previously possible with the standard SDKs. From FastAPI and Go endpoints to Phoenix apps and ML Ops tools, Docker Spaces can help in many different... |
https://huggingface.co/docs/hub/spaces-run-with-docker | Run with Docker
You can use Docker to run most Spaces locally. To view instructions to download and run Spaces’ Docker images, click on the “Run with Docker” button on the top-right corner of your Space page:
Login to the Docker registry
Some Spaces will require you to login to Hugging Face’s Docker registry. To do so,... |
https://huggingface.co/docs/hub/spaces-gpus | Using GPU Spaces
You can upgrade your Space to use a GPU accelerator using the Settings button in the top navigation bar of the Space. You can even request a free upgrade if you are building a cool demo for a side project!
Longer-term, we would also like to expose non-GPU hardware, like HPU, IPU or TPU. If you have a s... |
https://huggingface.co/docs/hub/spaces | Spaces
Hugging Face Spaces offer a simple way to host ML demo apps directly on your profile or your organization’s profile. This allows you to create your ML portfolio, showcase your projects at conferences or to stakeholders, and work collaboratively with other people in the ML ecosystem.
We have built-in support for ... |
https://huggingface.co/docs/hub/spaces-sdks-streamlit | Streamlit Spaces
Streamlit gives users freedom to build a full-featured web app with Python in a reactive way. Your code is rerun each time the state of the app changes. Streamlit is also great for data visualization and supports several charting libraries such as Bokeh, Plotly, and Altair. Read this blog post about bu... |
https://huggingface.co/docs/hub/spaces-embed | Embed your Space in another website
Once your Space is up and running you might wish to embed it in a website or in your blog. Embedding or sharing your Space is a great way to allow your audience to interact with your work and demonstrations without requiring any setup on their side. To embed a Space its visibility ne... |
https://huggingface.co/docs/hub/organizations-security | Access control in organizations
You can set up Single Sign-On (SSO) to be able to map access control rules from your organization’s Identity Provider.
Members of organizations can have four different roles: read, contributor, write or admin:
read: read-only access to the Organization’s repos and metadata/settings (eg, ... |
https://huggingface.co/docs/hub/other | Hub documentation
Organizations, Security, and the Hub API
Join the Hugging Face community
and get access to the augmented documentation experience
Collaborate on models, datasets and Spaces
Faster examples with accelerated inference
Switch between documentation themes
to get started
Organizations, Security, and t... |
https://huggingface.co/webhooks-explorers | Research interests
Webhooks are now publicly available on Hugging Face!
Organization Card
About org cards
👉 Documentation
spaces 1
Runtime error
♻
Auto Re-Train
models
None public yet
datasets
None public yet |
https://huggingface.co/docs/hub/spaces-advanced | Hub documentation
Advanced Topics
Join the Hugging Face community
and get access to the augmented documentation experience
Collaborate on models, datasets and Spaces
Faster examples with accelerated inference
Switch between documentation themes |
https://huggingface.co/docs/hub/organizations | Join the Hugging Face community
and get access to the augmented documentation experience
Collaborate on models, datasets and Spaces
Faster examples with accelerated inference
Switch between documentation themes |
https://huggingface.co/docs/hub/spaces-oauth | Adding a Sign-In with HF button to your Space
You can enable a built-in sign-in flow in your Space by seamlessly creating and associating an OAuth/OpenID connect app so users can log in with their HF account.
This enables new use cases for your Space. For instance, when combined with Persistent Storage, a generative AI... |
https://huggingface.co/docs/hub/spaces-changelog | Spaces Changelog
[2023-07-28] - Upstream Streamlit frontend for >=1.23.0
Streamlit SDK uses the upstream packages published on PyPI for >=1.23.0, so the newly released versions are available from the day of release.
[2023-05-30] - Add support for Streamlit 1.23.x and 1.24.0
Added support for Streamlit 1.23.0, 1.23.1, a... |
https://huggingface.co/docs/hub/billing | Billing
At Hugging Face, we build a collaboration platform for the ML community (i.e., the Hub), and we monetize by providing simple access to compute for AI, with services like AutoTrain, Spaces and Inference Endpoints, directly accessible from the Hub, and billed by Hugging Face to the credit card on file.
We also pa... |
https://huggingface.co/docs/hub/organizations-managing | Managing organizations
Creating an organization
Visit the New Organization form to create an organization.
Managing members
New members can be added to an organization by visiting the Organization settings and clicking on the Members tab. There, you’ll be able to generate an invite link, add members individually, or se... |
https://huggingface.co/docs/hub/moderation | Moderation
Reporting a repository
To report a repository, you can click the three dots at the top right of a repository. Afterwards, you can click “Report the repository”. This will allow you to explain what’s the reason behind the report (Ethical issue, legal issue, not working, or other) and a description for the rep... |
https://huggingface.co/spaces/amazon/README/blob/main/README.md | Hugging Face is working with Amazon Web Services to make it easier than ever for startups and enterprises to train and deploy Hugging Face models in Amazon SageMaker.
To train Hugging Face models in Amazon SageMaker, you can use the Hugging Face Deep Learning Containers (DLCs) and the Hugging Face support in the SageM... |
https://huggingface.co/spaces/huggingface-course/README/blob/main/README.md | metadata
title: README
emoji: 💻
colorFrom: purple
colorTo: red
sdk: static
pinned: false
This is the organization grouping all the models and datasets used in the Hugging Face course. |
https://huggingface.co/docs/hub/oauth | Sign in with Hugging Face
You can use the HF OAuth / OpenID connect flow to create a “Sign in with HF” flow in any website or App.
This will allow users to sign in to your website or app using their HF account, by clicking a button similar to this one:
After clicking this button your users will be presented with a perm... |
https://huggingface.co/docs/hub/repositories-getting-started | Getting Started with Repositories
This beginner-friendly guide will help you get the basic skills you need to create and manage your repository on the Hub. Each section builds on the previous one, so feel free to choose where to start!
Requirements
This document shows how to handle repositories through the web interfac... |
https://huggingface.co/docs/hub/repositories | Repositories
Models, Spaces, and Datasets are hosted on the Hugging Face Hub as Git repositories, which means that version control and collaboration are core elements of the Hub. In a nutshell, a repository (also known as a repo) is a place where code and assets can be stored to back up your work, share it with the com... |
https://huggingface.co/docs/hub/security | Security
The Hugging Face Hub offers several security features to ensure that your code and data are secure. Beyond offering private repositories for models, datasets, and Spaces, the Hub supports access tokens, commit signatures, and malware scanning.
Hugging Face is GDPR compliant. If a contract or specific data stor... |
https://huggingface.co/docs/hub/api | Hub API Endpoints
We have open endpoints that you can use to retrieve information from the Hub as well as perform certain actions such as creating model, dataset or Space repos. We offer a wrapper Python library, huggingface_hub, that allows easy access to these endpoints. We also provide webhooks to receive real-time ... |
https://huggingface.co/docs/hub/search | Search
You can now easily search anything on the Hub with Full-text search. We index model cards, dataset cards, and Spaces app.py files.
Go directly to https://huggingface.co/search or, using the search bar at the top of https://huggingface.co, you can select “Try Full-text search” to help find what you seek on the Hu... |
https://huggingface.co/huggingface-course | Research interests
A central place for all models and datasets created in the HuggingFace course.
spaces 2
models 14
huggingface-course/bert-finetuned-ner
Token Classification • Updated Dec 5, 2022 • 683 • 7
huggingface-course/bert-finetuned-squad
Question Answering • Updated Nov 11, 2021 • 766 • 5
huggingface-cours... |
https://huggingface.co/spaces/spacy/README/blob/main/README.md | Hugging Face makes it really easy to share your spaCy pipelines with the community!
With a single command, you can upload any pipeline package, with a pretty model card and all required metadata auto-generated for you. The inference API currently supports NER out-of-the-box and you can try out your pipeline interactive... |
https://huggingface.co/docs/hub/spaces-config-reference | Spaces Configuration Reference
Spaces are configured through the YAML block at the top of the README.md file at the root of the repository. All the accepted parameters are listed below.
title : string
Display title for the Space.
emoji : string
Space emoji (emoji-only character allowed).
colorFrom : string
Color for Th... |
https://huggingface.co/docs/hub/paper-pages | Paper Pages
Paper pages allow people to find artifacts related to a paper such as models, datasets and apps/demos (Spaces). Paper pages also enable the community to discuss about the paper.
Linking a Paper to a model, dataset or Space
If the repository card (README.md) includes a link to a paper on arXiv, the Hugging F... |
https://huggingface.co/docs/hub/repositories-settings | Repository Settings
Private repositories
You can choose a repository’s visibility when you create it, and any repository that you own can have its visibility toggled between public and private in the Settings tab. Unless your repository is owned by an organization, you are the only user that can make changes to your re... |
https://huggingface.co/docs/hub/repositories-next-steps | Next Steps
These next sections highlight features and additional information that you may find useful to make the most out of the Git repositories on the Hugging Face Hub.
How to programmatically manage repositories
Hugging Face supports accessing repos with Python via the huggingface_hub library. The operations that w... |
https://huggingface.co/docs/hub/repositories-pull-requests-discussions | Pull requests and Discussions
Hub Pull requests and Discussions allow users to do community contributions to repositories. Pull requests and discussions work the same for all the repo types.
At a high level, the aim is to build a simpler version of other git hosts’ (like GitHub’s) PRs and Issues:
no forks are involved:... |
https://huggingface.co/docs/hub/notifications | Notifications
Notifications allow you to know when new activities (Pull Requests or discussions) happen on models, datasets, and Spaces belonging to users or organizations you are watching.
By default, you’ll receive a notification if:
Someone mentions you in a discussion/PR.
A new comment is posted in a discussion/PR ... |
https://huggingface.co/docs/hub/doi | Digital Object Identifier (DOI)
The Hugging Face Hub offers the possibility to generate DOI for your models or datasets. DOIs (Digital Object Identifiers) are strings uniquely identifying a digital object, anything from articles to figures, including datasets and models. DOIs are tied to object metadata, including the ... |
https://huggingface.co/docs/hub/repositories-licenses | Licenses
You are able to add a license to any repo that you create on the Hugging Face Hub to let other users know about the permissions that you want to attribute to your code. The license can be specified in your repository’s README.md file, known as a card on the Hub, in the card’s metadata section. Remember to seek... |
https://huggingface.co/docs/hub/webhooks | Webhooks
Webhooks are now publicly available!
Webhooks are a foundation for MLOps-related features. They allow you to listen for new changes on specific repos or to all repos belonging to particular set of users/organizations (not just your repos, but any repo).
You can use them to auto-convert models, build community ... |
https://huggingface.co/docs/hub/models-downloading | Downloading models
Integrated libraries
If a model on the Hub is tied to a supported library, loading the model can be done in just a few lines. For information on accessing the model, you can click on the “Use in Library” button on the model page to see how to do so. For example, distilgpt2 shows how to do so with 🤗 ... |
https://huggingface.co/docs/hub/collections | Collections
Use Collections to group repositories from the Hub (Models, Datasets, Spaces and Papers) on a dedicated page.
Collections have many use cases:
Highlight specific repositories on your personal or organizational profile.
Separate key repositories from others for your profile visitors.
Showcase and share a com... |
https://huggingface.co/docs/hub/datasets-gated | Gated datasets
To give dataset creators more control over how their datasets are used, the Hub allows users to enable User Access requests through a dataset’s Settings tab. Enabling this setting requires users to agree to share their contact information and accept the dataset authors’ terms and conditions in order to a... |
https://huggingface.co/docs/hub/models-libraries | Libraries
The Hub has support for dozens of libraries in the Open Source ecosystem. Thanks to the huggingface_hub Python library, it’s easy to enable sharing your models in the Hub. The Hub supports many libraries, and we’re working on expanding this support! We’re happy to welcome to the Hub a set of Open Source libra... |
https://huggingface.co/docs/hub/datasets-overview | Datasets Overview
Datasets on the Hub
The Hugging Face Hub hosts a large number of community-curated datasets for a diverse range of tasks such as translation, automatic speech recognition, and image classification. Alongside the information contained in the dataset card, many datasets, such as GLUE, include a Dataset ... |
https://huggingface.co/docs/hub/models-inference | Inference API
Please refer to Inference API Documentation for detailed information.
What technology do you use to power the inference API?
For 🤗 Transformers models, Pipelines power the API.
On top of Pipelines and depending on the model type, there are several production optimizations like:
compiling models to optimi... |
https://huggingface.co/docs/hub/models-uploading | Uploading models
To upload models to the Hub, you’ll need to create an account at Hugging Face. Models on the Hub are Git-based repositories, which give you versioning, branches, discoverability and sharing features, integration with over a dozen libraries, and more! You have control over what you want to upload to you... |
https://huggingface.co/docs/hub/models | Join the Hugging Face community
and get access to the augmented documentation experience
Collaborate on models, datasets and Spaces
Faster examples with accelerated inference
Switch between documentation themes |
https://huggingface.co/docs/hub/datasets-viewer | Dataset viewer
The dataset page includes a table with the contents of the dataset, arranged by pages of 100 rows. You can navigate between pages using the buttons at the bottom of the table.
Search a word in the dataset
You can search for a word in the dataset by typing it in the search bar at the top of the table. The... |
https://huggingface.co/docs/hub/datasets | Datasets
The Hugging Face Hub is home to a growing collection of datasets that span a variety of domains and tasks. These docs will guide you through interacting with the datasets on the Hub, uploading new datasets, and using datasets in your projects.
This documentation focuses on the datasets functionality in the Hug... |
https://huggingface.co/docs/hub/repositories-recommendations | Repository limitations and recommendations
There are some limitations to be aware of when dealing with a large amount of data in your repo. Given the time it takes to stream the data, getting an upload/push to fail at the end of the process or encountering a degraded experience, be it on hf.co or when working locally, ... |
https://huggingface.co/docs/hub/models-the-hub | The Model Hub
What is the Model Hub?
The Model Hub is where the members of the Hugging Face community can host all of their model checkpoints for simple storage, discovery, and sharing. Download pre-trained models with the huggingface_hub client library, with 🤗 Transformers for fine-tuning and other usages or with any... |
https://huggingface.co/docs/sagemaker/faq | 404
Sorry, we can't find the page you are looking for. |
https://huggingface.co/docs/hub/models-faq | Frequently Asked Questions
How can I see what dataset was used to train the model?
It’s up to the person who uploaded the model to include the training information! You may find the information about the datasets that the model was trained on in the model card. If the datasets used for the model are on the Hub, the upl... |
https://huggingface.co/docs/sagemaker/main | Hugging Face on Amazon SageMaker
Deep Learning Containers
Deep Learning Containers (DLCs) are Docker images pre-installed with deep learning frameworks and libraries such as 🤗 Transformers, 🤗 Datasets, and 🤗 Tokenizers. The DLCs allow you to start training models immediately, skipping the complicated process of bu... |
https://huggingface.co/blog/aws-marketplace | The Hugging Face Platform has landed on the AWS Marketplace. Starting today, you can subscribe to the Hugging Face Platform through AWS Marketplace to pay for your Hugging Face usage directly with your AWS account. This new integrated billing method makes it easy to manage payment for usage of all our managed services ... |
https://huggingface.co/mikelewis0 | Mike Lewis
mikelewis0
https://research.fb.com/people/lewis-mike/
mikelewis0
Research interests
None yet
Organizations
Papers 5
arxiv:2305.03937
arxiv:2110.15943
arxiv:2308.06259
arxiv:2309.09117
models
None public yet
datasets
None public yet |
https://huggingface.co/blog/safecoder | Introducing SafeCoder
Today we are excited to announce SafeCoder - a code assistant solution built for the enterprise.
The goal of SafeCoder is to unlock software development productivity for the enterprise, with a fully compliant and self-hosted pair programmer. In marketing speak: “your own on-prem GitHub copilot”.
... |
https://huggingface.co/anchit | 1
Anchit Gupta
anchit
anchit
Research interests
None yet
Organizations
Papers 1
arxiv:2101.11038
models
None public yet
datasets
None public yet |
https://huggingface.co/docs/hub/models-advanced | Hub documentation
Advanced Topics
Join the Hugging Face community
and get access to the augmented documentation experience
Collaborate on models, datasets and Spaces
Faster examples with accelerated inference
Switch between documentation themes |
https://huggingface.co/docs/hub/datasets-cards | Dataset Cards
What are Dataset Cards?
Each dataset may be documented by the README.md file in the repository. This file is called a dataset card, and the Hugging Face Hub will render its contents on the dataset’s main page. To inform users about how to responsibly use the data, it’s a good idea to include information a... |
https://huggingface.co/michaelauli | Michael Auli
michaelauli
https://michaelauli.github.io
MichaelAuli
michaelauli
Research interests
None yet
Organizations
Papers 1
arxiv:2305.10005
models
None public yet
datasets
None public yet |
https://huggingface.co/acasanova | 1
Arantxa Casanova
acasanova
arcp_8
ArantxaCasanova
Research interests
None yet
Organizations
Papers 1
arxiv:1710.10903
models
None public yet
datasets
None public yet |
https://huggingface.co/VictoriaLinML | 3
Victoria Lin
VictoriaLinML
http://victorialin.net
VictoriaLinML
todpole3
Research interests
None yet
Organizations
models
None public yet
datasets
None public yet |
https://huggingface.co/docs/hub/models-gated | Gated models
To give model creators more control over how their models are used, the Hub allows users to enable User Access requests through a model’s Settings tab. Enabling this setting requires users to agree to share their contact information and accept the model owners’ terms and conditions in order to access the m... |
https://huggingface.co/arbabu123 | Arun Babu
arbabu123
Research interests
None yet
Organizations
Papers 1
arxiv:2309.02591
models
None public yet
datasets
None public yet |
https://huggingface.co/gizacard | Gautier Izacard
gizacard
Research interests
None yet
Organizations
Papers 3
arxiv:2112.09118
arxiv:2302.13971
arxiv:2208.03299
models
None public yet
datasets
None public yet |
https://huggingface.co/new | Log In
Don't have an account? Sign Up
Username or Email address Password
Forgot your password?
SSO is available for companies |
https://huggingface.co/sidaw | Sida Wang
sidaw
https://www.sidaw.xyz
sidaw
Research interests
ML NLP
Organizations
models
None public yet
datasets
None public yet |
https://huggingface.co/Changhan | Changhan Wang
Changhan
https://www.changhan.me
kahne
Research interests
Speech translation, machine translation
Organizations
models
None public yet
datasets
None public yet |
https://huggingface.co/suchenzang | 1
Susan Zhang
suchenzang
suchenzang
Research interests
None yet
Organizations
Papers 1
arxiv:2309.02591
models
None public yet
datasets
None public yet |
https://huggingface.co/portisto/activity/likes | Luka Riester
portisto
Research interests
None yet
Organizations
portisto's likes
liked 2 spaces over 1 year ago |
https://huggingface.co/Golovneva | Olga Golovneva
Golovneva
Golovneva
Research interests
None yet
Organizations
Papers 2
arxiv:2308.04592
arxiv:2309.02591
models
None public yet
datasets
None public yet |
https://huggingface.co/breakend | 9
Peter Henderson
breakend
PeterHndrsn
Breakend
Research interests
None yet
Organizations
Papers 4
arxiv:2104.08671
arxiv:2206.03216
arxiv:2207.00220
arxiv:2305.02440
models
None public yet
datasets 1
breakend/nllb-multi-domain
Viewer • Updated Aug 9, 2022 • 17 • 1 |
https://huggingface.co/sravyapopuri388 | Sravya Popuri
sravyapopuri388
sravyapopuri388
sravyapopuri388
Research interests
None yet
Organizations
models
None public yet
datasets
None public yet |
https://huggingface.co/pipibjc | Peng-Jen Chen
pipibjc
Research interests
machine translation, speech translation
Organizations
models
None public yet
datasets
None public yet |
https://huggingface.co/lpw | 9
Pengwei Li
lpw
lpw0
Research interests
None yet
Organizations
spaces 2
Runtime error
📉
Hokkien Demo Cpu
Build error
💻
Speech Matrix Demo CPU
models
None public yet
datasets
None public yet |
https://huggingface.co/vedanuj | Vedanuj Goswami
vedanuj
vedanujg
vedanuj
Research interests
Multimodal AI, NLP, CV
Organizations
Papers 1
arxiv:2307.09288
models
None public yet
datasets
None public yet |
https://huggingface.co/ola13 | 15 18
Aleksandra Piktus
ola13
olapiktus
ola13
Research interests
None yet
Organizations
Papers 3
arxiv:2005.11401
arxiv:2302.14035
arxiv:2305.16264
spaces 3
Runtime error
🌿
Sample Streamlit Search
Runtime error
🐠
IMDB search
Runtime error
🚀
Precision_at_k
models
None public yet
datasets 12
ola13/wikipedia_ci... |
https://huggingface.co/annasun28 | Anna Sun
annasun28
annasun28
Research interests
None yet
Organizations
models
None public yet
datasets
None public yet |
https://huggingface.co/safisaleem | Safiyyah Saleem
safisaleem
Research interests
None yet
Organizations
models
None public yet
datasets
None public yet |
https://huggingface.co/gmdnn | 1 2
Ning Dong
gmdnn
Research interests
None yet
Organizations
models
None public yet
datasets
None public yet |
https://huggingface.co/nicoladecao | Nicola De Cao
nicoladecao
https://nicola-decao.github.io
nicola_decao
nicola-decao
Research interests
None yet
Organizations
models 2
nicoladecao/msmarco-word2vec256000-distilbert-base-uncased
Feature Extraction • Updated Feb 18, 2022
nicoladecao/msmarco-word2vec256000-bert-base-uncased
Feature Extraction • Updated... |
https://huggingface.co/juanpino | Juan Pino
juanpino
Research interests
None yet
Organizations
Papers 5
arxiv:2204.02967
arxiv:2204.05409
arxiv:2306.01084
arxiv:2304.04618
models
None public yet
datasets
None public yet |
https://huggingface.co/ykarmesh | Karmesh Yadav
ykarmesh
Research interests
Reinforcement Learning, Embodied AI
Organizations
Papers 1
models 1 |
https://huggingface.co/dbatra | Dhruv Batra
dbatra
dhruvbatra
Research interests
None yet
Organizations
Papers 2
arxiv:2306.07552
arxiv:2306.11565
models
None public yet
datasets
None public yet |
https://huggingface.co/hygong | Hongyu Gong
hygong
Research interests
Natural Language Processing, Speech Translation
Organizations
models
None public yet
datasets
None public yet |
https://huggingface.co/ynonaolga | Olga Gerasimova
ynonaolga
Research interests
None yet
Organizations
models
None public yet
datasets
None public yet |
https://huggingface.co/Kerenfuentes | Keren Fuentes
Kerenfuentes
Lynx1820
Research interests
None yet
Organizations
models
None public yet
datasets 2
Kerenfuentes/holistic_bias
Viewer • Updated 4 days ago • 2
Kerenfuentes/testing_hb
Preview • Updated 11 days ago • 10 |
https://huggingface.co/shoumikhin | Anthony Shoumikhin
shoumikhin
shoumikhin
shoumikhin
Research interests
None yet
Organizations
models
None public yet
datasets
None public yet |
https://huggingface.co/ccsasuke | Xilun Chen
ccsasuke
ccsasuke
ccsasuke
Research interests
None yet
Organizations
Papers 3
arxiv:2101.11038
arxiv:2110.06918
arxiv:2302.07452
models
None public yet
datasets
None public yet |
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