CNXT
/

Adapters
English
finance
music
biology
legal
medical
text-generation-inference
Fintech
ai
crypto
chatgpt
gpt
openai
huggingchat
chatui
stripe
Google
Amazon
HTP
#://
$://
@://
*://
#://CNXT
$://THeXDesK
#://CHaTx
$://CHaTx
BLooMBeRG
CQG
AoN
#://CoNTRax
$://CoNTRax
CoNVB
#://CNXT.app
$://XDesK.app
FiX
aPi
aiRuN
30MiNs
LiNKeDiN
https://X.CoM
https://X.aPp
sms
smtp
http://
https://
HashTag
HashTags
HashTagPRoToCoL
GuNDB
iPFs
STeLLaR
DoCKeR
GiT
GiTHuB
eNGLiSH
#NGLiSH
SeaRCHeNGiNe
WeBBRoWSeR
oPeRaTiNGSySTeM
FuTuRes
oPTioNs
DeFi
fiaT
SMaRTCoNTRaCTs
CoNTRaCTs
DLT
$://XCH
$://ACH
$://SWiFT
chemistry
code
art
#://aMaZoN.CoM
#://GooGLe.CoM
#://aPPLe.CoM
$://CMeGRouP.aPp
#://CMeGRouP.app
#://oPeNai.CoM
#://MiCRoSoFT.CoM
#://X.CoM
$://X.aPp
#://GiTHuB.CoM
#://aws.aMaZoN.CoM
#://FaCeBooK.CoM
#://30MiNs.CoM
#://LiNKeDiN.CoM
#://TWiTTeR.CoM
#://youTuBe.CoM
#://TiKToK.CoM
FiNaNCiaLSeRViCes
TeCHNoLoGySeRViCes
bresnow
floatingmammoth
FLTNGMMTH
#://FLTNGMMTH.CoM
#://THeFLTNGMMTH
#://30MiNs.CoM
#://30MiNs.aPp
zapier
create
#://zapier
#ash
Xclip
CQG
#://CQG.app
https://cqg.com
#://SToNex
#://STRaiTsFiNaNCiaL
#://RCM
#://MaRKeTsWiKi
#://eXCeL
#://SeCo
#://SeCoMiND
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https://chatx.cnxt.app

This modelcard aims to be a base template for new models. It has been generated using this raw template.

Model Details

Model Description

  • Developed by: [#://CNXT $://THeXDesK ❌ #://THeFLTNGMMTH]
  • Shared by [optional]: [More Information Needed]
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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

from transformers import AutoModelWithHeads

model = AutoModelWithHeads.from_pretrained("CNXT/CHaTx") model.load_adapter("CNXT/CHaTx", source="hf")

Training Details

Training Data

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Summary

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Datasets used to train CNXT/CHaTx