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 |
|---|---|---|---|---|---|---|---|
Denilson/gbert-base-germaner | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-dropout-cola-0.4
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola... | [
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Deniskin/essays_small_2000i | [] | null | {
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license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola-learning_rate-9e-06
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
conf... | [
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Denver/distilbert-base-uncased-finetuned-squad | [] | null | {
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language: en
inference: false
tags:
- text-generation
- opt
license: other
commercial: false
---
## Intro
This is a OPT-125m model trained with HF dataset on a single 3090 GPU.
### How to use
You can use this model directly with a pipeline for text generation.
```python
>>> from transformers import pipeline
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DeskDown/MarianMixFT_en-id | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
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"no_repeat_ngram_size... | 3 | null | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
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DeskDown/MarianMixFT_en-ja | [
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license: mit
datasets:
- squad
- deepset/germanquad
language:
- de
---
# Overview
German QA-Model finetuned on Question-Answer-Pairs for Bürgerbüro-Service-Documents
**Base model:** deepset/gelectra-large
**Finetuning** in sequential steps on:
1. Machine-translated (en->de) SQuAD 1.0
2. GermanQuAD: deepset/ge... | [
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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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license: apache-2.0
tags:
- generated_from_trainer
datasets:
- opus_books
metrics:
- bleu
model-index:
- name: t5-mt-en-ca
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: opus_books
type: opus_books
config: ca-en
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DeskDown/MarianMixFT_en-th | [
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"transformers",
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license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: roberta-base-bne-finetuned-TripAdvisorDomainAdaptation
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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DeskDown/MarianMixFT_en-vi | [
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"no_repeat_ngram_size... | 5 | null | ---
license: apache-2.0
---
以ChatGPT、GPT-4等为代表的大语言模型（Large Language Model, LLM）掀起了新一轮自然语言处理领域的研究浪潮，展现出了类通用人工智能（AGI）的能力，受到业界广泛关注。
为推动LLM在中文医疗领域的发展和落地，提升LLM的医疗知识与回答医学咨询的能力，我们现推出**ChatMed**系列中文医疗大规模语言模型:
- 🚀 [ChatMed-Consult](https://huggingface.co/michaelwzhu/ChatMed-Consult) : 基于[中文医疗在线问诊数据集ChatMed_Consult_Dataset... | [
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DeskDown/MarianMix_en-zh-10 | [
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"no_repeat_ngram_size... | 3 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola-learning_rate-8e-06
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
conf... | [
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DeskDown/MarianMix_en-zh_to_vi-ms-hi-ja | [
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"tensorboard",
"marian",
"text2text-generation",
"transformers",
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] | text2text-generation | {
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---
license: creativeml-openrail-m
base_model: /home/ubuntu/model/stable-diffusion-v1-5
instance_prompt: a photo of benben cartoon cow,with red skin,cute face,two horns on the head,white cheeks
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA Drea... | [
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Dev-DGT/food-dbert-multiling | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
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] | token-classification | {
"architectures": [
"DistilBertForTokenClassification"
],
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... | 17 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: swlosof02_2
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. -->
# swlosof02_2
This model... | [
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DheerajPranav/Dialo-GPT-Rick-bot | [] | null | {
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"num_beams... | 0 | 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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Dhito/am | [] | null | {
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license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarizing_news
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. -->
# s... | [
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Dhruva/Interstellar | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola-learning_rate-0.0001
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
con... | [
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Dilmk2/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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],
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"no_repeat_ngram_size... | 13 | null | Access to model erwinschrodigner1/prabigya is restricted and you are not in the authorized list. Visit https://huggingface.co/erwinschrodigner1/prabigya to ask for access. | [
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DimaOrekhov/cubert-method-name | [
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"encoder-decoder",
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] | text2text-generation | {
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"no_re... | 10 | 2023-05-05T10:13:07Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-dropout-cola-0.8
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola... | [
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Dizoid/Lll | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-AS_sentences
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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Dmitry12/sber | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Circularmachines/Batch_indexing_machine_ViT
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 commen... | [
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Doiman/DialoGPT-medium-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"no_repeat_ngram_size... | 13 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: roberta-base-bne-finetuned-TripAdvisorDomainAdaptation-finetuned-e2-RestMex2023-polaridad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should ... | [
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DongHai/DialoGPT-small-rick | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"no_repeat_ngram_size... | 9 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-batchSize-cola-16
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: col... | [
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DongHyoungLee/kogpt2-base-v2-finetuned-kogpt2_nsmc_single_sentence_classification | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- adapter-transformers
- bert
- adapterhub:pico_ner
datasets:
- reginaboateng/cleaned_ebmnlp_pico
---
# Adapter `reginaboateng/clinical_bert_adapter_ner_pico_for_classification_task` for emilyalsentzer/Bio_ClinicalBERT
An [adapter](https://adapterhub.ml) for the `emilyalsentzer/Bio_ClinicalBERT` model that ... | [
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Dongjae/mrc2reader | [
"pytorch",
"xlm-roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
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"XLMRobertaForQuestionAnswering"
],
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... | 3 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: fine-tuned-DatasetQAS-Squad-ID-with-indobert-large-p2-with-ITTL-with-freeze-LR-1e-05
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably pro... | [
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Waynehillsdev/Wayne_NLP_mT5 | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
"model_type": "mt5",
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},
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"no_repeat... | 11 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola-dropout-0.1
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola... | [
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Doogie/Waynehills-KE-T5-doogie | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-batchSize-cola-32
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: col... | [
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Waynehillsdev/Waynehills-STT-doogie-server | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
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},
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"min_length": null,
"no_repeat_ngram_s... | 61 | null | faputa dreambooth model
key:shs,1girl, solo, navel, dark-skinned female, dark skin, very dark skin, looking at viewer, monster girl, white hair, extra arms, white background, flat chest, simple background, yellow eyes, white fur | [
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Waynehillsdev/Waynehills_summary_tensorflow | [
"tf",
"t5",
"text2text-generation",
"transformers",
"generated_from_keras_callback",
"autotrain_compatible"
] | text2text-generation | {
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"no_repeat_n... | 5 | null | # Trying to make AI conversation
for this fine-tuning of this model. here we use the **[dataset](abhijitgayen/cogo_chat)**
# How to use this Model
```python
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
model_id= "abhijitgayen/cogo-blenderbot"
tokenizer = AutoTokenizer.from_pretrained(model_id)
mode... | [
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Doquey/DialoGPT-small-Michaelbot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"no_repeat_ngram_size... | 10 | 2023-05-05T10:50:39Z | ## This is a 4bit quant of https://huggingface.co/Aeala/GPT4-x-AlpacaDente2-30b
# My secret sauce:
* Using comit <a href="https://github.com/0cc4m/GPTQ-for-LLaMa/tree/3c16fd9c7946ebe85df8d951cb742adbc1966ec7">3c16fd9</a> of 0cc4m's GPTQ fork
* Using PTB as the calibration dataset
* Act-order, True-sequenti... | [
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DoyyingFace/bert-asian-hate-tweets-asian-clean-with-unclean-valid | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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"BertForSequenceClassification"
],
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"no_rep... | 29 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-Copter
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
metr... | [
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-0.0... |
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-100 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
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},
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"min_length": null,
"no_rep... | 28 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-epochs-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola
... | [
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DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-50 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
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},
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"no_rep... | 28 | 2023-05-05T10:56:31Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola-dropout-0.2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola... | [
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DoyyingFace/bert-asian-hate-tweets-asonam-unclean | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
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},
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"no_rep... | 30 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarizing_lit_only
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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albert-base-v1 | [
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
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},
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"no_repeat_ngram_... | 38,156 | 2023-05-05T11:08:17Z | ---
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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albert-base-v2 | [
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"AlbertForMaskedLM"
],
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"no_repeat_ngram_... | 4,785,283 | 2023-05-05T11:08:35Z |
---
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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albert-large-v2 | [
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"no_repeat_ngram_... | 26,792 | 2023-05-05T11:09:37Z | ---
datasets:
- anon8231489123/ShareGPT_Vicuna_unfiltered
- gozfarb/ShareGPT_Vicuna_unfiltered
- gozfarb/bluemoon_roleplay_300k_vicuna
- gozfarb/GPTeacher-Vicuna
- gozfarb/SuperCOT-vicuna-dataset
- gozfarb/Vicuna_Evol_Instruct_Cleaned
language:
- en
---
## General
Vicuna 1.1 13B finetune incorporating various datasets ... | [
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0.... |
albert-xxlarge-v1 | [
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"AlbertForMaskedLM"
],
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"no_repeat_ngram_... | 7,091 | 2023-05-05T11:11:13Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola-dropout-0.3
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola... | [
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0.03... |
bert-base-german-dbmdz-cased | [
"pytorch",
"jax",
"bert",
"fill-mask",
"de",
"transformers",
"license:mit",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"no_repeat_ngram_size... | 1,814 | 2023-05-05T11:18:03Z | ---
datasets:
- EleutherAI/pile
---
# Model card for RWKV-4 | 7B parameters trained on Pile dataset
RWKV is a project led by [Bo Peng](https://github.com/BlinkDL). Learn more about the model architec... | [
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... |
bert-base-multilingual-cased | [
"pytorch",
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"jax",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"af",
"sq",
"ar",
"an",
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"ceb",
"ce",
"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en",
"et",
... | fill-mask | {
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"BertForMaskedLM"
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"no_repeat_ngram_size... | 4,749,504 | 2023-05-05T11:21:52Z | ---
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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0.... |
bert-base-multilingual-uncased | [
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"jax",
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"bert",
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"multilingual",
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"ceb",
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"zh",
"cv",
"hr",
"cs",
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"nl",
"en",
"et",
... | fill-mask | {
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],
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"no_repeat_ngram_size... | 328,585 | 2023-05-05T11:23:04Z | ---
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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0... |
bert-base-uncased | [
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"bert",
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"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
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] | fill-mask | {
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"no_repeat_ngram_size... | 59,663,489 | 2023-05-05T11:24:07Z | ---
pipeline_tag: translation
license: apache-2.0
language:
- zh
- en
--- | [
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0.0... |
bert-large-cased-whole-word-masking | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
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"no_repeat_ngram_size... | 2,316 | 2023-05-05T11:25:46Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola-dropout-0.4
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola... | [
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0.06032324582338333,
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-0.008315501734614372,
0.030743105337023735,
0.0334... |
bert-large-uncased-whole-word-masking-finetuned-squad | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"question-answering",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | question-answering | {
"architectures": [
"BertForQuestionAnswering"
],
"model_type": "bert",
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},
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"min_length": null,
"no_repeat_n... | 480,510 | 2023-05-05T11:28:22Z | ---
license: gpl-3.0
language:
- sv
pipeline_tag: text-classification
--- | [
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0.006149716209620237,
0.01757829636335373,
0.027... |
distilbert-base-cased-distilled-squad | [
"pytorch",
"tf",
"rust",
"safetensors",
"openvino",
"distilbert",
"question-answering",
"en",
"dataset:squad",
"arxiv:1910.01108",
"arxiv:1910.09700",
"transformers",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"has_space"
] | question-answering | {
"architectures": [
"DistilBertForQuestionAnswering"
],
"model_type": "distilbert",
"task_specific_params": {
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},
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... | 257,745 | null | ---
library_name: ml-agents
tags:
- Huggy
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (... | [
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0.018772663548588753,
... |
distilbert-base-uncased-distilled-squad | [
"pytorch",
"tf",
"tflite",
"coreml",
"safetensors",
"distilbert",
"question-answering",
"en",
"dataset:squad",
"arxiv:1910.01108",
"arxiv:1910.09700",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | question-answering | {
"architectures": [
"DistilBertForQuestionAnswering"
],
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... | 100,097 | 2023-05-05T11:42:54Z | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
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 clustering or semanti... | [
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0.0373214... |
distilbert-base-uncased | [
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"safetensors",
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"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1910.01108",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"DistilBertForMaskedLM"
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"no_repea... | 10,887,471 | 2023-05-22T23:39:47Z | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: nymiz-model-ner-x-x-api
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. -->
# nymiz-model-ner-x-... | [
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0.0... |
distilgpt2 | [
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"rust",
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"arxiv:2201.08542",
"arxiv:2203.12574",
"arxiv:1910.09700",
"arxiv:1503.02531",
"transformers",
"exbert",
"license:apache-2.0",
"model-... | text-generation | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 1,611,668 | 2023-05-05T11:51:43Z | ---
datasets:
- EleutherAI/pile
---
# Model card for RWKV-4 | 14B parameters trained on Pile dataset
RWKV is a project led by [Bo Peng](https://github.com/BlinkDL). Learn more about the model archite... | [
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distilroberta-base | [
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"tf",
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"transformers",
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"has_space"
] | fill-mask | {
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"no_repeat_ngra... | 3,342,240 | 2023-05-05T11:52:17Z | ---
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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gpt2-large | [
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"safetensors",
"gpt2",
"text-generation",
"en",
"arxiv:1910.09700",
"transformers",
"license:mit",
"has_space"
] | text-generation | {
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"no_repeat_ngram_size... | 1,454,819 | 2023-05-05T11:53:21Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split... | [
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007J/smile | [] | null | {
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"num_beams... | 0 | 2023-05-05T12:39:21Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola-batch-2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola
... | [
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AAli/bert-base-uncased-finetuned-swag | [] | null | {
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"num_beams... | 0 | 2023-05-05T13:48:04Z | ---
library_name: diffusers
pipeline_tag: text-to-image
tags:
- jax-diffusers-event
--- | [
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AdapterHub/bert-base-uncased-pf-swag | [
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"en",
"dataset:swag",
"arxiv:2104.08247",
"adapter-transformers"
] | null | {
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"num_bea... | 0 | 2023-05-05T16:47:54Z | ---
license: openrail
widget:
- text: I am totally a human, trust me bro.
example_title: default
- text: >-
In Finnish folklore, all places and things, and also human beings, have a
haltija (a genius, guardian spirit) of their own. One such haltija is called
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AdapterHub/roberta-base-pf-squad_v2 | [
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license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: whisper_med_ar_augmentation_2
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. -->
# whisp... | [
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Alireza1044/albert-base-v2-sst2 | [
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"tensorboard",
"albert",
"text-classification",
"en",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
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"no... | 52 | null | ---
license: mit
language:
- en
- zh
tags:
- yolov8
- tfjs
- hard-hat
- ultralytics
- yolo
- object-detection
library_name: ultralytics
library_version: 8.0.23
inference: false
datasets:
- keremberke/hard-hat-detection
model-index:
- name: keremberke/yolov8n-hard-hat-detection
results:
- task:
type: object-... | [
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Anamika/autonlp-fa-473312409 | [
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"en",
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"... | 35 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: KigenCHESS/eng-sw_TranslationModel
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. -->
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Andrey1989/mt5-small-finetuned-mlsum-es | [] | null | {
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license: apache-2.0
tags:
- canine
- pretrained-on-english-language
---
### How to use
Here is how to use this model:
```python
from transformers import CanineModel
model = CanineModel.from_pretrained('mushfiqur11/<repo name>')
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Anirbanbhk/Hate-speech-Pretrained-movies | [
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"no_rep... | 20 | null | ---
license: apache-2.0
tags:
- canine
- pretrained-on-english-language
---
### How to use
Here is how to use this model:
```python
from transformers import CanineModel
model = CanineModel.from_pretrained('mushfiqur11/<repo name>')
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Anonymous/ReasonBERT-BERT | [
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license: apache-2.0
tags:
- canine
- pretrained-on-english-language
---
### How to use
Here is how to use this model:
```python
from transformers import CanineModel
model = CanineModel.from_pretrained('mushfiqur11/<repo name>')
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AnonymousSub/AR_cline | [
"pytorch",
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license: apache-2.0
tags:
- canine
- pretrained-on-english-language
---
### How to use
Here is how to use this model:
```python
from transformers import CanineModel
model = CanineModel.from_pretrained('mushfiqur11/<repo name>')
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AnonymousSub/AR_rule_based_bert_triplet_epochs_1_shard_1 | [
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license: apache-2.0
tags:
- canine
- pretrained-on-english-language
---
### How to use
Here is how to use this model:
```python
from transformers import CanineModel
model = CanineModel.from_pretrained('mushfiqur11/<repo name>')
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AnonymousSub/AR_rule_based_roberta_bert_triplet_epochs_1_shard_10 | [
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"no_repeat_ngram_size... | 10 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-wikitext2
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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license: apache-2.0
---
This is my first Hugging Face model | [
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tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
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license: apache-2.0
tags:
- canine
- pretrained-on-english-language
---
### How to use
Here is how to use this model:
```python
from transformers import CanineModel
model = CanineModel.from_pretrained('mushfiqur11/<repo name>')
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license: apache-2.0
tags:
- canine
- pretrained-on-english-language
---
### How to use
Here is how to use this model:
```python
from transformers import CanineModel
model = CanineModel.from_pretrained('mushfiqur11/<repo name>')
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license: apache-2.0
tags:
- canine
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---
### How to use
Here is how to use this model:
```python
from transformers import CanineModel
model = CanineModel.from_pretrained('mushfiqur11/<repo name>')
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license: apache-2.0
tags:
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---
### How to use
Here is how to use this model:
```python
from transformers import CanineModel
model = CanineModel.from_pretrained('mushfiqur11/<repo name>')
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license: apache-2.0
tags:
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---
### How to use
Here is how to use this model:
```python
from transformers import CanineModel
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AnonymousSub/AR_rule_based_twostage_quadruplet_epochs_1_shard_1 | [
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license: apache-2.0
tags:
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- pretrained-on-english-language
---
### How to use
Here is how to use this model:
```python
from transformers import CanineModel
model = CanineModel.from_pretrained('mushfiqur11/<repo name>')
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AnonymousSub/AR_rule_based_twostagetriplet_epochs_1_shard_1 | [
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license: apache-2.0
tags:
- canine
- pretrained-on-english-language
---
### How to use
Here is how to use this model:
```python
from transformers import CanineModel
model = CanineModel.from_pretrained('mushfiqur11/<repo name>')
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license: apache-2.0
tags:
- canine
- pretrained-on-english-language
---
### How to use
Here is how to use this model:
```python
from transformers import CanineModel
model = CanineModel.from_pretrained('mushfiqur11/<repo name>')
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AnonymousSub/EManuals_BERT_squad2.0 | [
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license: apache-2.0
tags:
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- pretrained-on-english-language
---
### How to use
Here is how to use this model:
```python
from transformers import CanineModel
model = CanineModel.from_pretrained('mushfiqur11/<repo name>')
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license: apache-2.0
tags:
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- pretrained-on-english-language
---
### How to use
Here is how to use this model:
```python
from transformers import CanineModel
model = CanineModel.from_pretrained('mushfiqur11/<repo name>')
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"... | 29 | null | ---
license: apache-2.0
tags:
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- pretrained-on-english-language
---
### How to use
Here is how to use this model:
```python
from transformers import CanineModel
model = CanineModel.from_pretrained('mushfiqur11/<repo name>')
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AnonymousSub/SDR_HF_model_base | [
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license: apache-2.0
tags:
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---
### How to use
Here is how to use this model:
```python
from transformers import CanineModel
model = CanineModel.from_pretrained('mushfiqur11/<repo name>')
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AnonymousSub/SR_EManuals-BERT | [
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license: apache-2.0
tags:
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---
### How to use
Here is how to use this model:
```python
from transformers import CanineModel
model = CanineModel.from_pretrained('mushfiqur11/<repo name>')
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AnonymousSub/SR_declutr | [
"pytorch",
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] | feature-extraction | {
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license: apache-2.0
tags:
- Composer
- MosaicML
- llm-foundry
- StreamingDatasets
datasets:
- mc4
- c4
- togethercomputer/RedPajama-Data-1T
- bigcode/the-stack
- allenai/s2orc
inference: false
---
# MPT-7B
MPT-7B is a decoder-style transformer pretrained from scratch on 1T tokens of English text and code.
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license: apache-2.0
tags:
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datasets:
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model-index:
- name: distilbert-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 remov... | [
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license: apache-2.0
tags:
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datasets:
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metrics:
- accuracy
model-index:
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results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: crows_pairs
type: crows_pairs
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license: apache-2.0
tags:
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metrics:
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model-index:
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results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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license: apache-2.0
tags:
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model-index:
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results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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AnonymousSub/SR_rule_based_roberta_bert_triplet_epochs_1_shard_10 | [
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license: cc-by-4.0
tags:
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model-index:
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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. -->
# roberta... | [
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AnonymousSub/SR_rule_based_roberta_only_classfn_epochs_1_shard_10 | [
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license: apache-2.0
tags:
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- llm-foundry
- StreamingDatasets
datasets:
- mc4
- c4
- togethercomputer/RedPajama-Data-1T
- bigcode/the-stack
- allenai/s2orc
inference: false
duplicated_from: mosaicml/mpt-7b
---
# MPT-7B
MPT-7B is a decoder-style transformer pretrained from scratch on 1T tokens ... | [
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AnonymousSub/SR_rule_based_roberta_only_classfn_twostage_epochs_1_shard_1 | [
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language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
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widget:
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---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
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license: other
thumbnail: >-
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datasets:
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language:
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- ja
- zh
pipeline_tag: text-to-image
tags:
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- safetensors
---
<center>
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"no_repeat_ngram_size... | 8 | null | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```pyth... | [
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AnonymousSub/bert_triplet_epochs_1_shard_1 | [
"pytorch",
"bert",
"feature-extraction",
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"no_repeat_ngram_size": nul... | 2 | null | ---
language:
- zh
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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AnonymousSub/bert_triplet_epochs_1_shard_10 | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
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"no_repeat_ngram_size": nul... | 1 | null | ---
license: apache-2.0
tags:
- Composer
- MosaicML
- llm-foundry
datasets:
- the_pile_books3
inference: false
duplicated_from: TehVenom/MPT-7b-storywriter-Apache-2.0
---
# MPT-7B-StoryWriter-65k+
MPT-7B-StoryWriter-65k+ is a model designed to read and write fictional stories with super long context lengths.
It was b... | [
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AnonymousSub/cline-s10-AR | [
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"... | 31 | null | ---
license: cc-by-sa-4.0
language:
- en
tags:
- contracts
- legal
- document ai
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingfac... | [
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0... |
AnonymousSub/declutr-emanuals-techqa | [
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] | question-answering | {
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"no_re... | 4 | null | Access to model claireliang/edit-anything-v-0-0 is restricted and you are not in the authorized list. Visit https://huggingface.co/claireliang/edit-anything-v-0-0 to ask for access. | [
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AnonymousSub/declutr-model-emanuals | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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],
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"no_repeat_ngra... | 4 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: my_awesome_qa_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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AnonymousSub/declutr-roberta-papers | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
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"min_length": null,
"no_repeat_ngra... | 4 | null | ---
license: creativeml-openrail-m
language:
- en
- ja
tags:
- Stable-Diffusion
- lora
---
# 【LoRA】witchpot-citynight-sd-1-5
LoRA for 2D game city silhouette night stage
[witchpot-citynight-sd-1-5](https://huggingface.co/Witchpot/CitySilhouette_Night/resolve/main/witchpot-citynight-sd-1-5.safetensors)
All train... | [
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AnonymousSub/declutr-s10-AR | [
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] | text-classification | {
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"... | 26 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bangla-para-v2-30000
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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0.... |
AnonymousSub/rule_based_bert_triplet_epochs_1_shard_1_squad2.0 | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"BertForQuestionAnswering"
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"no_repeat_n... | 3 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: stable-diffusion-sinop
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. -->
# stable-diffusion-si... | [
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0.04... |
AnonymousSub/rule_based_roberta_bert_quadruplet_epochs_1_shard_1_wikiqa | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
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"... | 23 | null | ---
language:
- en
tags:
- art
---
My LoRA repository for those, who don't want to use unstable CivitAI resources.
Right now there are:
- Zankuro Style LoRA
- nradiowave Style LoRA
- Hyouuma Style LoRA
- Yabby Style LoRA
- Rabbit (wlsdnjs950) Style LoRA | [
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AnonymousSub/rule_based_roberta_hier_triplet_epochs_1_shard_1_squad2.0 | [
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"no_re... | 4 | null |
---
license: creativeml-openrail-m
base_model: stabilityai/stable-diffusion-2-1
instance_prompt: a photo of simbimbi cat
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- dreambooth
inference: true
---
# DreamBooth - WildPress/simba_model
This is a dreambooth model derived from ... | [
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AnonymousSub/rule_based_roberta_hier_triplet_epochs_1_shard_1_wikiqa | [
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],
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"... | 25 | null | ---
license: other
language:
- en
library_name: transformers
inference: false
thumbnail: https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico
tags:
- gpt
- llm
- large language model
- LLaMa
datasets:
- h2oai/h2ogpt-oig-oasst1-instruct-cleaned-v2
---
# h2oGPT Model Card
## Summary
H... | [
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AnonymousSub/rule_based_roberta_hier_triplet_epochs_1_shard_1_wikiqa_copy | [
"pytorch",
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"feature-extraction",
"transformers"
] | feature-extraction | {
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"no_repeat_ngram_size... | 2 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### v2-4-class-line Dreambooth model trained by lucky120901318 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 A1... | [
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AnonymousSub/rule_based_roberta_only_classfn_epochs_1_shard_10 | [
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"no_repeat_ngram_size... | 5 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wikisql
model-index:
- name: t5-small-finetuned-wikisql
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 comm... | [
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AnonymousSub/rule_based_roberta_twostagequadruplet_hier_epochs_1_shard_1_squad2.0 | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
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},
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 2 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned2-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola
spli... | [
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0.0... |
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