Hugging Face model: CNXT/CHaTx
Author: CNXT
Created: 2023-04-04 16:14:32
Last modified: 2023-12-12 12:17:19
Library: adapter-transformers
Likes: 9 | Downloads: 0
Tags: adapter-transformers, 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, en, dataset:OpenAssistant/oasst1, dataset:fka/awesome-chatgpt-prompts, dataset:togethercomputer/RedPajama-Data-1T, dataset:anon8231489123/ShareGPT_Vicuna_unfiltered, dataset:gsdf/EasyNegative, dataset:bloomberg/entsum, dataset:openai/summarize_from_feedback, dataset:billsum, dataset:AmazonScience/massive, dataset:amazon_us_reviews, dataset:amazon_reviews_multi, dataset:openwebtext, dataset:microsoft/CLUES, dataset:Norod78/microsoft-fluentui-emoji-512-whitebg, dataset:Norod78/microsoft-fluentui-emoji-768, dataset:MicPie/unpredictable_msdn-microsoft-com, dataset:microsoft/codexglue_method_generation, dataset:Salesforce/rose, dataset:Intel/WEC-Eng, dataset:Intel/CoreSearch, dataset:google/MusicCaps, dataset:google/xtreme_s, dataset:google/fleurs, dataset:EleutherAI/lambada_openai, dataset:CarperAI/openai_summarize_tldr, dataset:CarperAI/openai_summarize_comparisons, dataset:dalle-mini/YFCC100M_OpenAI_subset, dataset:openai_humaneval, dataset:openai/webgpt_comparisons, dataset:nyanko7/LLaMA-65B, dataset:allenai/objaverse, dataset:Anthropic/hh-rlhf, dataset:Anthropic/model-written-evals, dataset:yizhongw/self_instruct, dataset:Nerfgun3/bad_prompt, dataset:Nerfgun3/cyberware_style, dataset:JosephusCheung/GuanacoDataset, dataset:allenai/multixscience_sparse_oracle, dataset:allenai/wcep_dense_oracle, dataset:facebook/content_rephrasing, dataset:facebook/flores, dataset:cverse/linkedin, dataset:amazon_polarity, dataset:ApiInferenceTest/asr_dummy, dataset:Francois/futures_es, dataset:Intel/textual_inversion_dicoo_dfq, dataset:search_qa, dataset:nomic-ai/gpt4all_prompt_generations, dataset:yahoo_answers_topics, dataset:code_search_net, dataset:LangChainDatasets/agent-search-calculator, dataset:wikipedia, dataset:craigslist_bargains, dataset:codeparrot/github-code, dataset:codeparrot/github-code-clean, dataset:code_x_glue_ct_code_to_text, dataset:0n1xus/codexglue, dataset:pszemraj/govreport-summarization-8192, dataset:Icannos/gpt4all-formatted-dolly-15k-multilingual, dataset:chromeNLP/quality, dataset:CNXT/autotrain-data-chatx, dataset:emilylearning/cond_ft_subreddit_on_reddit__prcnt_20__test_run_False__xlm-roberta-base, dataset:openchat/openchat_sharegpt4_dataset, dataset:tiiuae/falcon-refinedweb, dataset:Salesforce/dialogstudio, dataset:ehartford/dolphin, dataset:databricks/databricks-dolly-15k, dataset:GAIR/lima, dataset:uonlp/CulturaX, dataset:TIGER-Lab/MathInstruct, dataset:google/trueteacher, dataset:arubenruben/cnn_dailymail_azure_pt_pt, dataset:facebook/winoground, dataset:facebook/multilingual_librispeech, dataset:facebook/belebele, dataset:meta-math/MetaMathQA, arxiv:1910.09700, doi:10.57967/hf/1197, license:openrail, region:us
Card metadata:
datasets: OpenAssistant/oasst1, fka/awesome-chatgpt-prompts, togethercomputer/RedPajama-Data-1T, anon8231489123/ShareGPT_Vicuna_unfiltered, gsdf/EasyNegative, bloomberg/entsum, openai/summarize_from_feedback, billsum, AmazonScience/massive, amazon_us_reviews, amazon_reviews_multi, openwebtext, microsoft/CLUES, Norod78/microsoft-fluentui-emoji-512-whitebg, Norod78/microsoft-fluentui-emoji-768, MicPie/unpredictable_msdn-microsoft-com, microsoft/codexglue_method_generation, Salesforce/rose, Intel/WEC-Eng, Intel/CoreSearch, google/MusicCaps, google/xtreme_s, google/fleurs, EleutherAI/lambada_openai, CarperAI/openai_summarize_tldr, CarperAI/openai_summarize_comparisons, dalle-mini/YFCC100M_OpenAI_subset, openai_humaneval, openai/webgpt_comparisons, nyanko7/LLaMA-65B, allenai/objaverse, Anthropic/hh-rlhf, Anthropic/model-written-evals, yizhongw/self_instruct, Nerfgun3/bad_prompt, Nerfgun3/cyberware_style, JosephusCheung/GuanacoDataset, allenai/multixscience_sparse_oracle, allenai/wcep_dense_oracle, facebook/content_rephrasing, facebook/flores, cverse/linkedin, amazon_polarity, ApiInferenceTest/asr_dummy, Francois/futures_es, Intel/textual_inversion_dicoo_dfq, search_qa, nomic-ai/gpt4all_prompt_generations, yahoo_answers_topics, code_search_net, LangChainDatasets/agent-search-calculator, wikipedia, craigslist_bargains, codeparrot/github-code, codeparrot/github-code-clean, code_x_glue_ct_code_to_text, 0n1xus/codexglue, pszemraj/govreport-summarization-8192, Icannos/gpt4all-formatted-dolly-15k-multilingual, chromeNLP/quality, CNXT/autotrain-data-chatx, emilylearning/cond_ft_subreddit_on_reddit__prcnt_20__test_run_False__xlm-roberta-base, openchat/openchat_sharegpt4_dataset, tiiuae/falcon-refinedweb, Salesforce/dialogstudio, ehartford/dolphin, databricks/databricks-dolly-15k, GAIR/lima, uonlp/CulturaX, TIGER-Lab/MathInstruct, google/trueteacher, arubenruben/cnn_dailymail_azure_pt_pt, facebook/winoground, facebook/multilingual_librispeech, facebook/belebele, meta-math/MetaMathQA
metrics: accuracy, bertscore, bleu, bleurt, brier_score, cer, character, charcut_mt, chrf, code_eval
library_name: adapter-transformers
tags: 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
language: en
license: openrail