modelId stringlengths 4 81 | tags list | pipeline_tag stringclasses 17
values | config dict | downloads int64 0 59.7M | first_commit timestamp[ns, tz=UTC] | card stringlengths 51 438k | embedding list |
|---|---|---|---|---|---|---|---|
Culmenus/XLMR-ENIS-finetuned-ner | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"dataset:mim_gold_ner",
"transformers",
"generated_from_trainer",
"license:agpl-3.0",
"model-index",
"autotrain_compatible"
] | token-classification | {
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],
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... | 6 | null | ---
license: artistic-2.0
datasets:
- Fakermiya/nsfw-sfw
language:
- pl
library_name: adapter-transformers
tags:
- art
--- | [
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Culmenus/checkpoint-168500-finetuned-de-to-is_nr2 | [] | null | {
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tags:
- generated_from_trainer
model-index:
- name: subh_whisper_small_distil_libri360_12_to_10_batch_4_epoch_20
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -... | [
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Culmenus/opus-mt-de-is-finetuned-de-to-is | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MarianMTModel"
],
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"no_repeat_ngram_size... | 1 | 2023-04-19T18:27:10Z | ---
license: cc-by-nc-4.0
language:
- zh
tags:
- mad
- fate
- hk
---
# 《命案》免費線上看完整版(2023小鴨影音)
哪裡可以《命案》免費線上看？命案線上看、高清小鴨影音完整版，隨時隨地輕鬆追上最新電影資訊!
《命案》線上看、完整版小鴨 2023，(電影)命案線上看【小鴨版免費】而且還是原廠正版HD畫質。
## 命案線上看、電影下載片免費：
[![命案線上看](https://s3-ap-northeast-1.amazonaws.com/peatix-files/event/1617321/cover-9YGwFX3Uj0wUWbldxRrgaua9kT... | [
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Culmenus/opus-mt-de-is-finetuned-de-to-is_ekkicc | [] | null | {
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"num_beams... | 0 | null | ---
license: cc-by-nc-4.0
language:
- zh
tags:
- art
- legal
---
# 《殺神John Wick 4》免費線上看完整版(2023小鴨影音)
哪裡可以《殺神John Wick 4》免費線上看？殺神John Wick 4線上看、高清小鴨影音完整版，隨時隨地輕鬆追上最新電影資訊!
《殺神John Wick 4》線上看、完整版小鴨 2023，(電影)殺神John Wick 4線上看【小鴨版免費】而且還是原廠正版HD畫質。
## 殺神John Wick 4線上看、電影下載片免費：
[![殺神John Wick 4線上看](https://s3-ap-northeast-1.... | [
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Culmenus/opus-mt-de-is-finetuned-de-to-is_nr2-finetuned-de-to-is_nr2 | [] | null | {
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"num_beams... | 0 | 2023-04-19T18:33:27Z | ---
library_name: stable-baselines3
tags:
- HalfCheetahBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: HalfCheetahBulletEnv-v0
type: ... | [
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CurtisASmith/GPT-JRT | [] | null | {
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"num_beams... | 0 | 2023-04-19T18:34:56Z | ---
library_name: stable-baselines3
tags:
- RoombaAToB-punish-stagnant-bounds
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: RoombaAToB-punish-stagnant... | [
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CurtisBowser/DialoGPT-medium-sora | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 7 | 2023-04-19T18:44:18Z | ---
license: creativeml-openrail-m
language:
- zh
tags:
- legal
- art
---
# 《燈火闌珊》免費線上看完整版(2023小鴨影音)
哪裡可以《燈火闌珊》免費線上看？燈火闌珊線上看、高清小鴨影音完整版，隨時隨地輕鬆追上最新電影資訊!
《燈火闌珊》線上看、完整版小鴨 2023，(電影)燈火闌珊線上看【小鴨版免費】而且還是原廠正版HD畫質。
## 燈火闌珊線上看、電影下載片免費：
[![燈火闌珊線上看](https://s3-ap-northeast-1.amazonaws.com/peatix-files/event/1617321/cover-9YGwFX3... | [
-0.026014432311058044,
-0.02845648303627968,
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CyberMuffin/DialoGPT-small-ChandlerBot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 9 | null | ---
library_name: stable-baselines3
tags:
- RoombaAToB-punish-stag-at-end
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: RoombaAToB-punish-stag-at-end
... | [
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Czapla/Rick | [] | null | {
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"num_beams... | 0 | null | ---
license: creativeml-openrail-m
language:
- zh
tags:
- legal
- art
---
# 《吸血鬼奴才：雷菲爾》免費線上看完整版(2023小鴨影音)
哪裡可以《吸血鬼奴才：雷菲爾》免費線上看？吸血鬼奴才：雷菲爾線上看、高清小鴨影音完整版，隨時隨地輕鬆追上最新電影資訊!
《吸血鬼奴才：雷菲爾》線上看、完整版小鴨 2023，(電影)吸血鬼奴才：雷菲爾線上看【小鴨版免費】而且還是原廠正版HD畫質。
## 吸血鬼奴才：雷菲爾線上看、電影下載片免費：
[![吸血鬼奴才：雷菲爾線上看](https://s3-ap-northeast-1.amazonaws.com/peati... | [
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... |
D-Keqi/espnet_asr_train_asr_streaming_transformer_raw_en_bpe500_sp_valid.acc.ave | [] | null | {
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"num_beams... | 11 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-ner
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread a... | [
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D3vil/DialoGPT-smaall-harrypottery | [] | null | {
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"num_beams... | 0 | null | # Vocabulary Trimmed [vocabtrimmer/xlm-roberta-base-xnli-en](https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-en): `vocabtrimmer/xlm-roberta-base-xnli-en-trimmed-en`
This model is a trimmed version of [vocabtrimmer/xlm-roberta-base-xnli-en](https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-en) by [`vo... | [
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0... |
D3xter1922/electra-base-discriminator-finetuned-cola | [
"pytorch",
"tensorboard",
"electra",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | {
"architectures": [
"ElectraForSequenceClassification"
],
"model_type": "electra",
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},
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"... | 68 | 2023-04-19T19:03:44Z | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | [
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D3xter1922/electra-base-discriminator-finetuned-mnli | [] | null | {
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library_name: stable-baselines3
tags:
- RoombaAToB-harcodemap-punish-stagnant-long
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: BC
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: RoombaAToB-harcode... | [
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DHBaek/xlm-roberta-large-korquad-mask | [
"pytorch",
"xlm-roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
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],
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... | 9 | null | # Vocabulary Trimmed [vocabtrimmer/xlm-roberta-base-xnli-fr](https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-fr): `vocabtrimmer/xlm-roberta-base-xnli-fr-trimmed-fr`
This model is a trimmed version of [vocabtrimmer/xlm-roberta-base-xnli-fr](https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-fr) by [`vo... | [
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DJSammy/bert-base-danish-uncased_BotXO-ai | [
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"da",
"dataset:common_crawl",
"dataset:wikipedia",
"transformers",
"bert",
"masked-lm",
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] | fill-mask | {
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"num_beams... | 14 | null | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
model-index:
- name: AraElectra-finetuned-CrossVal-fnd
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove t... | [
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DKpro000/DialoGPT-medium-harrypotter | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: CartPole-v2
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: mean_rewa... | [
-0.029777411371469498,
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0.0... |
DLNLP/t5-small-finetuned-xsum | [] | null | {
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"num_beams... | 0 | null | ---
license: other
inference: false
---
# Alpaca LoRA 65B GPTQ 4bit
This is a [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa) 4bit quantisation of [changsung's alpaca-lora-65B](https://huggingface.co/chansung/alpaca-lora-65b)
I also have 4bit and 2bit GGML files for cPU inference available here: [The... | [
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DTAI-KULeuven/robbertje-1-gb-merged | [
"pytorch",
"roberta",
"fill-mask",
"nl",
"dataset:oscar",
"dataset:oscar (NL)",
"dataset:dbrd",
"dataset:lassy-ud",
"dataset:europarl-mono",
"dataset:conll2002",
"arxiv:2101.05716",
"transformers",
"Dutch",
"Flemish",
"RoBERTa",
"RobBERT",
"RobBERTje",
"license:mit",
"autotrain_c... | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngra... | 1 | 2023-04-19T19:52:41Z | ---
library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
... | [
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0.0... |
DTAI-KULeuven/robbertje-1-gb-non-shuffled | [
"pytorch",
"roberta",
"fill-mask",
"nl",
"dataset:oscar",
"dataset:dbrd",
"dataset:lassy-ud",
"dataset:europarl-mono",
"dataset:conll2002",
"arxiv:2101.05716",
"transformers",
"Dutch",
"Flemish",
"RoBERTa",
"RobBERT",
"RobBERTje",
"license:mit",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
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},
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"no_repeat_ngra... | 53 | 2023-04-19T19:53:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# b... | [
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0.0... |
DTAI-KULeuven/robbertje-1-gb-shuffled | [
"pytorch",
"roberta",
"fill-mask",
"nl",
"dataset:oscar",
"dataset:oscar (NL)",
"dataset:dbrd",
"dataset:lassy-ud",
"dataset:europarl-mono",
"dataset:conll2002",
"arxiv:2101.05716",
"transformers",
"Dutch",
"Flemish",
"RoBERTa",
"RobBERT",
"RobBERTje",
"license:mit",
"autotrain_c... | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
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},
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"no_repeat_ngra... | 7 | null | # Vocabulary Trimmed [vocabtrimmer/xlm-roberta-base-xnli-de](https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-de): `vocabtrimmer/xlm-roberta-base-xnli-de-trimmed-de`
This model is a trimmed version of [vocabtrimmer/xlm-roberta-base-xnli-de](https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-de) by [`vo... | [
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0... |
alexandrainst/da-binary-emotion-classification-base | [
"pytorch",
"tf",
"safetensors",
"bert",
"text-classification",
"da",
"transformers",
"license:cc-by-sa-4.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
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},
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"min_length": null,
"no_rep... | 1,066 | null | ---
language:
- en
tags:
- causal-lm
license: cc-by-nc-sa-4.0
datasets:
- dmayhem93/ChatCombined
- tatsu-lab/alpaca
- nomic-ai/gpt4all_prompt_generations
- Dahoas/full-hh-rlhf
- jeffwan/sharegpt_vicuna
- HuggingFaceH4/databricks_dolly_15k
---
| [
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0... |
alexandrainst/da-hatespeech-detection-base | [
"pytorch",
"tf",
"safetensors",
"bert",
"text-classification",
"da",
"transformers",
"license:cc-by-sa-4.0"
] | text-classification | {
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"no_rep... | 1,719 | null | ---
license: bsd-3-clause
---
Salesforce's [CodeGen](https://github.com/salesforce/CodeGen) 350M mono model ported to ggml and quantized to be executed on Apple Silicon M1/M2 CPU.
Please refer to this [tutorial](https://github.com/virtualramblas/codegen-quantization-M1) to learn more about the process that has been f... | [
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alexandrainst/da-subjectivivity-classification-base | [
"pytorch",
"tf",
"safetensors",
"bert",
"text-classification",
"da",
"dataset:DDSC/twitter-sent",
"dataset:DDSC/europarl",
"transformers",
"license:cc-by-sa-4.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
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},
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"max_length": null,
"min_length": null,
"no_rep... | 846 | null | ---
license: openrail
datasets:
- fka/awesome-chatgpt-prompts
- anon8231489123/ShareGPT_Vicuna_unfiltered
- togethercomputer/RedPajama-Data-1T
- OpenAssistant/oasst1
language:
- en
metrics:
- accuracy
library_name: adapter-transformers
tags:
- not-for-all-audiences
- code
- text-generation-inference
- legal
- finance
-... | [
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0.0... |
alexandrainst/da-ned-base | [
"pytorch",
"tf",
"xlm-roberta",
"text-classification",
"da",
"transformers",
"license:cc-by-sa-4.0"
] | text-classification | {
"architectures": [
"XLMRobertaForSequenceClassification"
],
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},
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"max_length": null,
"min_length": null,
... | 25 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### ceramland Dreambooth model trained by kikokikona with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab ... | [
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Daiki/scibert_scivocab_uncased-finetuned-cola | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- generated_from_trainer
datasets:
- lewtun/code_alpaca
model-index:
- name: large-model-finetuned-code-alpaca
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this commen... | [
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0.... |
DaisyMak/bert-finetuned-squad-transformerfrozen-testtoken | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"BertForQuestionAnswering"
],
"model_type": "bert",
"task_specific_params": {
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"max_length": null
},
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"min_length": null,
"no_repeat_n... | 7 | null | ---
license: creativeml-openrail-m
duplicated_from: SirVeggie/salutemix
---
# SaluteMix model
SaluteMix is a yet-another semi-realistic mix. Name comes from 99% success rate when using salute tag. All previews are pure txt2img.
I highly recommend `EasyNegative embedding`, or `(low quality, worst quality:1.4), (bad a... | [
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Danbi/distilgpt2-finetuned-wikitext2 | [] | null | {
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"num_beams... | 0 | null | # Vocabulary Trimmed [vocabtrimmer/xlm-roberta-base-xnli-es](https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-es): `vocabtrimmer/xlm-roberta-base-xnli-es-trimmed-es`
This model is a trimmed version of [vocabtrimmer/xlm-roberta-base-xnli-es](https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-es) by [`vo... | [
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... |
DannyMichael/ECU911 | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-PixelCopter
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
... | [
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0.012068302370607853,
-0.... |
Darein/Def | [] | null | {
"architectures": null,
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},
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"num_beams... | 0 | null | # Vocabulary Trimmed [vocabtrimmer/xlm-roberta-base-xnli-ar](https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-ar): `vocabtrimmer/xlm-roberta-base-xnli-ar-trimmed-ar`
This model is a trimmed version of [vocabtrimmer/xlm-roberta-base-xnli-ar](https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-ar) by [`vo... | [
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0.0013324085157364607... |
Daryaflp/roberta-retrained_ru_covid | [
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
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},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat_ngra... | 3 | null | ---
library_name: stable-baselines3
tags:
- RoombaAToB-harcodemap-punish-stagnant-no-training
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: BC
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: RoombaAToB-... | [
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0.011099117808043957,
... |
DataikuNLP/TinyBERT_General_4L_312D | [
"pytorch",
"jax",
"bert",
"arxiv:1909.10351",
"transformers"
] | null | {
"architectures": null,
"model_type": "bert",
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},
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"num_bea... | 74 | null | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v2
type: PandaReach... | [
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0.00... |
DataikuNLP/average_word_embeddings_glove.6B.300d | [
"arxiv:1908.10084",
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"license:apache-2.0"
] | sentence-similarity | {
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},
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
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DataikuNLP/distiluse-base-multilingual-cased-v1 | [
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"distilbert",
"arxiv:1908.10084",
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | sentence-similarity | {
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"no_repeat_ngra... | 29 | null | ---
pipeline_tag: translation
tags:
- generated_from_trainer
datasets:
- opus_books
model-index:
- name: my_awesome_opus_nooks_model
results: []
--- | [
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DataikuNLP/paraphrase-MiniLM-L6-v2 | [
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"no_repeat_ngram_size": nul... | 25 | null | ---
{}
---
This is a BERT-based NER model trained to detect PERSON and BRAND entities in text. | [
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Dave/twomad-model | [] | null | {
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"num_beams... | 0 | null | ---
library_name: ml-agents
tags:
- SnowballTarget
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech... | [
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Davlan/bert-base-multilingual-cased-finetuned-amharic | [
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"bert",
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"transformers",
"autotrain_compatible"
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"no_repeat_ngram_size... | 109 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: flan-t5-large-da-multiwoz2.0_800-ep20-nonstop
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, th... | [
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Davlan/bert-base-multilingual-cased-finetuned-luganda | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 16 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: my_awesome_opus_books_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment... | [
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Davlan/bert-base-multilingual-cased-finetuned-naija | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 13 | null | Access to model iffatN/chatty_gtp2 is restricted and you are not in the authorized list. Visit https://huggingface.co/iffatN/chatty_gtp2 to ask for access. | [
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Davlan/bert-base-multilingual-cased-finetuned-swahili | [
"pytorch",
"tf",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 67 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit... | [
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Davlan/bert-base-multilingual-cased-finetuned-wolof | [
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"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 4 | null | Access to model SanidhyaSingh/AI is restricted and you are not in the authorized list. Visit https://huggingface.co/SanidhyaSingh/AI to ask for access. | [
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Davlan/byt5-base-yor-eng-mt | [
"pytorch",
"t5",
"text2text-generation",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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"no_repeat_n... | 12 | null | ---
library_name: stable-baselines3
tags:
- RoombaAToB-no-training-far
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: BC
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: RoombaAToB-no-training-far
t... | [
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Davlan/distilbert-base-multilingual-cased-ner-hrl | [
"pytorch",
"tf",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible",
"has_space"
] | token-classification | {
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... | 123,856 | null | # MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models
[Deyao Zhu](https://tsutikgiau.github.io/)* (On Job Market!), [Jun Chen](https://junchen14.github.io/)* (On Job Market!), [Xiaoqian Shen](https://xiaoqian-shen.github.io), [Xiang Li](https://xiangli.ac.cn), and [Mohamed Elhoseiny](... | [
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0.05... |
Davlan/m2m100_418M-eng-yor-mt | [
"pytorch",
"m2m_100",
"text2text-generation",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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"no... | 9 | null | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | [
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Davlan/m2m100_418M-yor-eng-mt | [
"pytorch",
"m2m_100",
"text2text-generation",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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"no... | 6 | null | リアル系マージモデルです。日本人を始めとするアジア系の再現ができるように調整しています。特にjapanese doll likenessとの親和性を意識しています。
このマージモデルを公開するにあたり、使用したモデルの製作者の皆様に感謝申し上げます。
This is a realistic merge model. It is adjusted to reproduce Japanese and other Asian descent. We are especially conscious of the affinity with japanese doll likeness.
We would like to thank ... | [
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Davlan/mbart50-large-yor-eng-mt | [
"pytorch",
"mbart",
"text2text-generation",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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"no_re... | 5 | null | Access to model itsDesTV/GOD_AI is restricted and you are not in the authorized list. Visit https://huggingface.co/itsDesTV/GOD_AI to ask for access. | [
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Davlan/mt5-small-en-pcm | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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"no_repeat... | 9 | null | ---
tags:
- generated_from_trainer
model-index:
- name: flan-t5-large-da-multiwoz2.1_400-ep15-nonstop
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# flan-t5-l... | [
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Davlan/mt5_base_eng_yor_mt | [
"pytorch",
"mt5",
"text2text-generation",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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"no_repeat... | 2 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit... | [
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Davlan/mt5_base_yor_eng_mt | [
"pytorch",
"mt5",
"text2text-generation",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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"no_repeat... | 8 | null | ---
library_name: stable-baselines3
tags:
- RoombaAToB-mid-goal
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: RoombaAToB-mid-goal
type: RoombaAT... | [
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0.006... |
Davlan/xlm-roberta-base-finetuned-chichewa | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
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],
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"no_repe... | 5 | null | ---
library_name: stable-baselines3
tags:
- RoombaAToB-no-theta
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: BC
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: RoombaAToB-no-theta
type: RoombaATo... | [
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0... |
Davlan/xlm-roberta-base-finetuned-english | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
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"no_repe... | 5 | null | ---
tags:
- generated_from_trainer
model-index:
- name: flan-t5-large-da-multiwoz2.0_400-ep15-nonstop
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# flan-t5-l... | [
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Davlan/xlm-roberta-base-finetuned-kinyarwanda | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"XLMRobertaForMaskedLM"
],
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"no_repe... | 61 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit... | [
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0.010269581340253353,
... |
Davlan/xlm-roberta-base-finetuned-shona | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
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"XLMRobertaForMaskedLM"
],
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"no_repe... | 5 | null | # Drug-Drug-Interaction-Classification
Drug to Drug Interaction Classifier
An innovative approach was developed to address a crucial challenge in drug-drug interaction research. While existing state of the art link prediction models rely on prior knowledge of a drug's interaction with other drugs, our solution utilize... | [
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Davlan/xlm-roberta-base-finetuned-somali | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
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],
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"no_repe... | 8 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# hlyu/albert-base-v2
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like... | [
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0.0... |
Davlan/xlm-roberta-base-finetuned-swahili | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
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"no_repe... | 40 | null | ---
license: other
inference: false
---
# Quantised GGMLs of alpaca-lora-65B
Quantised 4bit and 5bit GGMLs of [changsung's alpaca-lora-65B](https://huggingface.co/chansung/alpaca-lora-65b) for CPU inference with [llama.cpp](https://github.com/ggerganov/llama.cpp).
I also have 4bit GPTQ files for GPU inference availa... | [
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0.03... |
Davlan/xlm-roberta-base-finetuned-wolof | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
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"no_repe... | 3 | null | # 📋 BUOD: Text Summarization Model for the Filipino Language Directory
[](https://huggingface.co/jamesesguerra/distilbart-cnn-12-6-finetuned-1.3.1) [](https://huggingface.co/0xh... | [
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Davlan/xlm-roberta-base-masakhaner | [
"pytorch",
"xlm-roberta",
"token-classification",
"arxiv:2103.11811",
"transformers",
"autotrain_compatible"
] | token-classification | {
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],
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... | 3 | null | ---
license: bsd-3-clause
---
Salesforce's [CodeGen](https://github.com/salesforce/CodeGen) 6B mono model ported to ggml and quantized to be executed on Apple Silicon M1/M2 CPU.
Please refer to this [tutorial](https://github.com/virtualramblas/codegen-quantization-M1) to learn more about the process that has been fol... | [
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Davlan/xlm-roberta-base-ner-hrl | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"XLMRobertaForTokenClassification"
],
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... | 760 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# hlyu/albert_another
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like... | [
-0.037342678755521774,
-0.01888420432806015,
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0.001313019311055541,
0.041178... |
Davlan/xlm-roberta-base-wikiann-ner | [
"pytorch",
"tf",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"XLMRobertaForTokenClassification"
],
"model_type": "xlm-roberta",
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},
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... | 235 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-fr-explorer-classification
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
... | [
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... |
Dawn576/Dawn | [] | null | {
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},
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"num_beams... | 0 | 2023-04-19T23:16:36Z | ---
library_name: stable-baselines3
tags:
- RoombaAToB-long-goal
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: RoombaAToB-long-goal
type: Roomba... | [
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0.0... |
Dazai/Ko | [] | null | {
"architectures": null,
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- shared-task
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bsc-bio-ehr-es-finetuned-ner-1
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: shared-task
type: shared-... | [
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0.0... |
Dbluciferm3737/U | [] | null | {
"architectures": null,
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"num_beams... | 0 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Pixelcopter-PLE-v0
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
me... | [
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Ddarkros/Test | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
datasets:
- togethercomputer/RedPajama-Data-1T
---
# MPT-1b-RedPajama-200b
MPT-1b-RedPajama-200b is a 1.3 billion parameter decoder-only transformer trained on the [RedPajama dataset](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T).
The model was trained for 200B tokens by ... | [
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0.... |
DeBERTa/deberta-v2-xxlarge | [] | null | {
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"num_beams... | 0 | null | ---
language:
- es
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Small spanish - ROGRANMAR
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then... | [
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0.0... |
DeadBeast/emoBERTTamil | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"dataset:tamilmixsentiment",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
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},
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"min_length": null,
"no_rep... | 35 | null | ---
license: mit
pipeline_tag: token-classification
widget:
- text: "In addition to manufacturing major components for Typhoon, the site builds the aft fuselage and the horizontal and vertical tail planes for every F-35 military aircraft under contract to the prime contractor, Lockheed Martin."
example_title: "Examp... | [
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0.0... |
DeadBeast/roberta-base-pretrained-mr-2 | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
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"no_repeat_ngra... | 5 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2_finetuned_SparC_Hugging_face
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt2_fin... | [
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0.0... |
DeadBeast/roberta-base-pretrained-mr | [
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
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},
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"no_repeat_ngra... | 6 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- beans
metrics:
- accuracy
model-index:
- name: platzi-vit-model-geovany-uribe
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: beans
type: beans
config: default
split: vali... | [
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Declan/Breitbart_model_v6 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
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"no_repeat_ngram_size... | 3 | null | Converted using [convert_llama_weights_to_hf.py](https://github.com/huggingface/transformers/blob/main/src/transformers/models/llama/convert_llama_weights_to_hf.py), commit `d2ffc3f`:
```
python convert_llama_weights_to_hf.py --input_dir /models/LLaMA/ --model_size 7B --output_dir /tmp/converted
```
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Declan/Breitbart_model_v8 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
license: gpl-2.0
---
Model uploads for AstroSleuth
View the repo on github here: https://github.com/Aveygo/AstroSleuth | [
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Declan/ChicagoTribune_model_v3 | [
"pytorch",
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"no_repeat_ngram_size... | 3 | null | ---
tags:
- generated_from_keras_callback
model-index:
- name: automotive-base_ex
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# automotive-base_ex
This model is a... | [
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"no_repeat_ngram_size... | 7 | null | ---
title: Chat-with-GPT4
emoji: 🚀
colorFrom: red
colorTo: indigo
sdk: gradio
sdk_version: 3.21.0
app_file: app.py
pinned: false
license: mit
duplicated_from: ysharma/ChatGPTwithAPI
---
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
| [
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Declan/ChicagoTribune_model_v8 | [
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"no_repeat_ngram_size... | 7 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
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Declan/FoxNews_model_v5 | [
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"no_repeat_ngram_size... | 7 | 2023-04-20T01:20:22Z | ---
license: unknown
language:
- zh
metrics:
- character
pipeline_tag: text-to-speech
tags:
- music
---
# Inital | [
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Declan/HuffPost_model_v1 | [
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"fill-mask",
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"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 3 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole-v0
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type:... | [
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0.0163... |
Declan/HuffPost_model_v6 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 9 | null | Training parameters:
```
model_args = ClassificationArgs()
model_args.max_seq_length = 512
model_args.train_batch_size = 12
model_args.eval_batch_size = 12
model_args.num_train_epochs = 5
model_args.evaluate_during_training = False
model_args.learning_rate = 1e-5
model_args.use_multiprocessing = False
model_args.fp16 ... | [
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0.0025491483975201845,
... |
Declan/Independent__model | [] | null | {
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"num_beams... | 0 | null | ---
language:
- zh
tags:
- LoRA
- Butterfly
- Butterfly_wings
---
有时候在想，如果花仙子变成了真实的，会是怎么样的呢？
于是我炼了一个关于“蝴蝶”的LoRA，然后就出现仿若真人的花仙子~~
底模：chilloutmix_v10，
图片：219张蝴蝶，
训练次数：6
第一次写就这样吧~
直接放tag吧，大伙自己拿去试一试~
(Masterpiece, best quality, complex details),unreal engine, portrait,
1girl, tiny cute and adorable, smile, wearing the ... | [
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Declan/NPR_model_v3 | [
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"bert",
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"transformers",
"autotrain_compatible"
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"no_repeat_ngram_size... | 9 | null | ---
language:
- nl
license: mit
tags:
- 1.1.0
- generated_from_trainer
datasets:
- facebook/voxpopuli
model-index:
- name: SpeechT5 TTS Dutch neunit
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete... | [
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"no_repeat_ngram_size... | 3 | null | ---
license: agpl-3.0
---
[UNOFFICIAL]
This is the pretrained DeepFocus model that accompanies the manuscript "DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning",
published by Caglar Senaras et al in PLOS One (October 2018, DOI: https://doi.org/10.1371/journal.pone.020538... | [
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Declan/NewYorkPost_model_v1 | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- LLMs
- MiniGPT-4
---
这是MiniGPT-4的转化权重，利用的教程是[MiniGPT-4/PrepareVicuna.md](https://github.com/Vision-CAIR/MiniGPT-4/blob/main/PrepareVicuna.md) ，使用它，您可以不需要LLAMA-13B和vicuna-13b-delta-v0进行转化。
- [https://github.com/Vision-CAIR/MiniGPT-4](https://github.com/Vision-CAIR/MiniGPT-4) | [
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Declan/NewYorkTimes_model_v1 | [] | null | {
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"num_beams... | 0 | null | ---
license: creativeml-openrail-m
pipeline_tag: text-to-image
tags:
- anime
library_name: diffusers
---
try to learn | [
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"no_repeat_ngram_size... | 5 | null |
---
license: creativeml-openrail-m
base_model: /home/ubuntu/model/stable-diffusion-v1-4
instance_prompt: a photo of xiaoxin boy,Thick and black eyebrows, round eyes, chubby and cute cheeks, very adorable, a Japanese cartoon little boy of around 4 years old
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-t... | [
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Declan/NewYorkTimes_model_v8 | [
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"no_repeat_ngram_size... | 3 | null | ---
license: creativeml-openrail-m
language:
- ja
tags:
- stable-diffusion
---
本モデルは『CreativeML Open RAIL-M』の範囲でラインセンスされます。
本モデルを使用した上での問題に関しては、当方は一切責任を持ちません。ご了承の上ご使用ください。
また、マージモデルのライセンス変更に伴い、公開を停止することがあります。
<マージ利用モデル>
マージの際し、下記のライセンスに関して継承しております。
✓ Use the model without crediting the creator<br>
✓ Sell images they... | [
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Declan/Politico_model_v1 | [
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"no_repeat_ngram_size... | 3 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# hlyu/basemodel_xuan_loss
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks... | [
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Declan/Politico_model_v3 | [
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"no_repeat_ngram_size... | 5 | null | ---
license: creativeml-openrail-m
---
https://civitai.com/models/44702/susannah-honkai-3rd | [
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"no_repeat_ngram_size... | 7 | null | ---
license: creativeml-openrail-m
---
https://civitai.com/models/45232/yuisis-granblue-fantasy | [
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Declan/Politico_model_v6 | [
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"no_repeat_ngram_size... | 3 | null | ---
license: cc
metrics:
- mIoU
pipeline_tag: image-segmentation
tags:
- stanford indoor
- sunrgbd
- semi-supervised
- semantic segmentation
datasets:
- stanford_indoor
- sunrgbs
---
| Dataset | Labels used | Modality | Framework | Config file | Checkpoint ... | [
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"no_repeat_ngram_size... | 7 | null | ---
license: creativeml-openrail-m
---
https://civitai.com/models/42192/zero-two | [
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Declan/Reuters_model_v2 | [
"pytorch",
"bert",
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"no_repeat_ngram_size... | 5 | null | ---
license: creativeml-openrail-m
---
https://civitai.com/models/43696/shuten-douji-fate-grand-order | [
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Declan/Reuters_model_v4 | [
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"no_repeat_ngram_size... | 3 | null | ---
license: creativeml-openrail-m
---
https://civitai.com/models/41513/chen-hai-azur-lane-cerulean-ripples | [
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Declan/Reuters_model_v5 | [
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"no_repeat_ngram_size... | 3 | null | ---
license: creativeml-openrail-m
---
https://civitai.com/models/45013/suzukaze-aoba | [
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Declan/Reuters_model_v6 | [
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"no_repeat_ngram_size... | 7 | null | ---
license: creativeml-openrail-m
---
https://civitai.com/models/45018/kusano-yui | [
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Declan/Reuters_model_v8 | [
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"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 3 | null | ---
license: creativeml-openrail-m
---
https://civitai.com/models/33764/mahjongsoul-characters | [
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Declan/WallStreetJournal_model_v2 | [
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"no_repeat_ngram_size... | 7 | null | ---
license: creativeml-openrail-m
---
https://civitai.com/models/45126/bradamante-5in1-all-outfit-fate-grand-order | [
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Declan/WallStreetJournal_model_v3 | [
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"no_repeat_ngram_size... | 3 | null | ** Model upgraded and finetuned starting from LlaMa model. I hope everyone creates modes starting from this open-source project**
GPTQ conversion command (on CUDA branch):
CUDA_VISIBLE_DEVICES=0 python llama.py ../capibara-17b-4bit c4 --wbits 4 --true-sequential --groupsize 128 --save capibara-17b-4bit-128g.pt
Added ... | [
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"no_repeat_ngram_size... | 7 | null | ---
license: creativeml-openrail-m
---
https://civitai.com/models/45459/sharon-holygrail-engage-kiss | [
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DeepBasak/Slack | [] | null | {
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"num_beams... | 0 | null | ---
license: creativeml-openrail-m
---
https://civitai.com/models/44954/ahogemix | [
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DeepChem/ChemBERTa-10M-MLM | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngra... | 90 | null | ---
license: bsd-3-clause
---
This is a finetuned CodeT5-base checkpoint on CodeXGLUE code summarization python data.
Pretrained model: https://huggingface.co/Salesforce/codet5-base
Finetuning dataset: https://huggingface.co/datasets/code_x_glue_ct_code_to_text (only the python split) | [
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DeepPavlov/distilrubert-base-cased-conversational | [
"pytorch",
"distilbert",
"ru",
"arxiv:2205.02340",
"transformers"
] | null | {
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"n... | 6,324 | null | ---
license: gpl-3.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: ckiplab-albert-base-chinese-david-ner
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and ... | [
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DeepPavlov/distilrubert-tiny-cased-conversational-v1 | [
"pytorch",
"distilbert",
"ru",
"arxiv:2205.02340",
"transformers"
] | null | {
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"n... | 9,141 | null | ---
library_name: ml-agents
tags:
- SnowballTarget
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech... | [
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DeepPavlov/xlm-roberta-large-en-ru-mnli | [
"pytorch",
"xlm-roberta",
"text-classification",
"en",
"ru",
"dataset:glue",
"dataset:mnli",
"transformers",
"xlm-roberta-large",
"xlm-roberta-large-en-ru",
"xlm-roberta-large-en-ru-mnli",
"has_space"
] | text-classification | {
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],
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... | 227 | 2023-04-20T03:23:33Z | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: jimli0816/food_classifier
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# jimli081... | [
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... |
DeskDown/MarianMix_en-zh-10 | [
"pytorch",
"tensorboard",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MarianMTModel"
],
"model_type": "marian",
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"no_repeat_ngram_size... | 3 | null | ---
tags:
- LunarLander-v2
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metr... | [
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0.02... |
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