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 |
|---|---|---|---|---|---|---|---|
dccuchile/albert-xlarge-spanish | [
"pytorch",
"tf",
"albert",
"pretraining",
"es",
"dataset:large_spanish_corpus",
"transformers",
"spanish",
"OpenCENIA"
] | null | {
"architectures": [
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"no_repeat_ngr... | 91 | null | ---
tags:
- summarization
- ar
- encoder-decoder
- arabert
- arabert2arabert
- Abstractive Summarization
- generated_from_trainer
datasets:
- wiki_lingua
model-index:
- name: arabert2arabert-finetuned-ar-wikilingua
results: []
---
<!-- This model card has been generated automatically according to the information the... | [
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dccuchile/albert-xxlarge-spanish | [
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"albert",
"pretraining",
"es",
"dataset:large_spanish_corpus",
"transformers",
"spanish",
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"no_repeat_ngr... | 42 | 2022-06-12T01:04:38Z | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- metrics:
- type: mean_reward
value: 255.00 +/- 93.83
name: mean_reward
task:
type: reinforcement-learning
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dccuchile/bert-base-spanish-wwm-cased-finetuned-pawsx | [
"pytorch",
"bert",
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"transformers"
] | text-classification | {
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"no_rep... | 25 | 2022-06-12T01:45:44Z | ---
language:
- en
---
# Empathic Conversations: Dialog Acts
Model owner(s): Ryan Guan, [rguan@seas.upenn.edu](mailto:rguan@seas.upenn.edu)
Associated paper:
## Model description
### Related models
- wwbproj/empathic_conversations_empathy
- wwbproj/empathic_conversations_emotion
- wwbproj/empathic_conversations_emo... | [
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dccuchile/bert-base-spanish-wwm-uncased-finetuned-qa-mlqa | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
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],
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"no_repeat_n... | 5 | 2022-06-12T03:40:33Z | ---
language:
- en
metrics:
- accuracy
co2_eq_emissions:
emissions: "10"
source: "mlco2.github.io"
training_type: "fine-tuning"
geographical_location: "West Java, Indonesia"
hardware_used: "1 T4"
license: cc-by-nc-sa-4.0
widget:
- text: 'You: "Hey kekbot! Whats up?"\nKekbot: "'
example_t... | [
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dccuchile/distilbert-base-spanish-uncased-finetuned-pawsx | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
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... | 29 | 2022-06-12T03:55:39Z | ---
language: en
thumbnail: http://www.huggingtweets.com/tayplaysgaymes/1655006196516/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; ... | [
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dccuchile/distilbert-base-spanish-uncased-finetuned-pos | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible"
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... | 3 | null | ---
language:
- English
tags:
- Clinical notes
- Discharge summaries
- RoBERTa
license: "cc-by-4.0"
datasets:
- MIMIC-III
---
* Continue pre-training RoBERTa-base using discharge summaries from MIMIC-III datasets.
* Details can be found in the following paper
> Xiang Dai and Ilias Chalkidis and Sune Darkner and... | [
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dccuchile/distilbert-base-spanish-uncased | [
"pytorch",
"distilbert",
"fill-mask",
"es",
"dataset:large_spanish_corpus",
"transformers",
"spanish",
"OpenCENIA",
"autotrain_compatible"
] | fill-mask | {
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"no_repea... | 670 | 2022-06-12T04:47:58Z | ---
language: en
license: cc-by-4.0
tags:
- Clinical notes
- Discharge summaries
- longformer
datasets:
- MIMIC-III
---
* Continue pre-training RoBERTa-base using discharge summaries from MIMIC-III datasets.
* Details can be found in the following paper
> Xiang Dai and Ilias Chalkidis and Sune Darkner and Desmond El... | [
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CennetOguz/distilbert-base-uncased-finetuned-recipe-accelerate-1 | [
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"no_repea... | 1 | null | Access to model brainbust/dummy-model is restricted and you are not in the authorized list. Visit https://huggingface.co/brainbust/dummy-model to ask for access. | [
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CennetOguz/distilbert-base-uncased-finetuned-recipe | [
"pytorch",
"tensorboard",
"distilbert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
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"no_repea... | 2 | 2022-06-12T05:15:25Z | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- metrics:
- type: mean_reward
value: 550.00 +/- 150.17
name: mean_reward
task:
type: reinforcement-learning
... | [
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0.... |
Coolhand/Abuela | [
"en",
"image_restoration",
"superresolution",
"license:mit"
] | null | {
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"num_beams... | 0 | 2022-06-12T10:02:23Z | ---
language:
- tr
- en
tags:
- translation
license: apache-2.0
datasets:
- Parallel Corpora for Turkish-English Academic Translations
metrics:
- bleu
- sacrebleu
---
## Model Details
- **Developed by:** İlhami SEL
- **Model type:** Mbart Finetune Machine Translation
- **Language:** Turkish - English
- **Resources f... | [
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Craftified/Bob | [] | null | {
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"num_beams... | 0 | null | ---
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
args: default... | [
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Craig/mGqFiPhu | [
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"num_beams... | 0 | 2022-06-12T12:47:27Z | ---
language:
- uk
- en
tags:
- mt5
---
The aim is to compress the mT5-small model to leave only the Ukrainian language and some basic English.
Reproduced the similar result (but with another language) from [this](https://towardsdatascience.com/how-to-adapt-a-multilingual-t5-model-for-a-single-language-b9f94f3d9c90) ... | [
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Craig/paraphrase-MiniLM-L6-v2 | [
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"sentence-transformers",
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"no_repeat_ngram_size": nul... | 1,026 | null | ---
language: en
thumbnail: http://www.huggingtweets.com/eitapau/1655038194341/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: ... | [
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Crisblair/Wkwk | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
library_name: pytorch
tags:
- style-transfer
- face-stylization
datasets:
- cartoon
- caricature
- anime
- pixar
- slamdunk
- arcane
- comic
---
## Model Details
This system provides a web demo for the following paper:
**Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer (CVPR 2... | [
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Culmenus/opus-mt-de-is-finetuned-de-to-is_nr2 | [
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"no_repeat_ngram_size... | 1 | 2022-06-12T14:10:11Z | ---
tags:
- FrozenLake-v1-4x4
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- metrics:
- type: mean_reward
value: 0.23 +/- 0.42
name: mean_reward
task:
type: reinforcement-learning
name: reinforcement-learni... | [
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0.022831527516245842... |
CurtisBowser/DialoGPT-small-sora | [
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"no_repeat_ngram_size... | 7 | null | ---
tags:
- FrozenLake-v1-4x4
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-Slippery
results:
- metrics:
- type: mean_reward
value: 0.00 +/- 0.00
name: mean_reward
task:
type: reinforcement-learning
name: reinforcement-learning... | [
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D3xter1922/electra-base-discriminator-finetuned-mnli | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- generated_from_trainer
model-index:
- name: kc-bert_finetuned_unsmile
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. -->
# kc-bert_finetuned_unsmile
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0.033426739275455475,
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D4RL1NG/yes | [] | null | {
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"num_beams... | 0 | null | Query Encoder trained on Tevatron small sample dataset(3epochs)
| [
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DARKVIP3R/DialoGPT-medium-Anakin | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 13 | null | Passage Encoder trained on Tevatron small sample dataset(3epochs)
| [
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DJSammy/bert-base-swedish-uncased_BotXO-ai | [
"pytorch",
"transformers"
] | null | {
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"num_beams... | 1 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: evangeloc/t5-small-finetuned-xsum_3epoch_batch8
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 co... | [
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Darkrider/covidbert_mednli | [
"transformers"
] | null | {
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"num_beams... | 3 | 2022-06-12T18:51:31Z | ---
tags:
- FrozenLake-v1-8x8-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-8x8-noSlippery
results:
- metrics:
- type: mean_reward
value: 1.00 +/- 0.00
name: mean_reward
task:
type: reinforcement-learning
name: reinforc... | [
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0... |
Davlan/mt5-small-en-pcm | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
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"no_repeat... | 9 | 2022-06-12T20:29:08Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 258.75 +/- 26.92
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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0.002... |
Davlan/xlm-roberta-base-finetuned-amharic | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
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"no_repe... | 401 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wmt16
metrics:
- bleu
model-index:
- name: opus-mt-en-ro-finetuned-en-to-ro
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: wmt16
type: wmt16
args: ro-en
m... | [
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Davlan/xlm-roberta-base-finetuned-swahili | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"XLMRobertaForMaskedLM"
],
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"no_repe... | 40 | null | ---
language:
- en
license: apache-2.0
tags:
- SEAD
datasets:
- glue
- qnli
---
## Paper
## [SEAD: SIMPLE ENSEMBLE AND KNOWLEDGE DISTILLATION FRAMEWORK FOR NATURAL LANGUAGE UNDERSTANDING](https://www.adasci.org/journals/lattice-35309407/?volumes=true&open=621a3b18edc4364e8a96cb63)
Aurthors: *Moyan Mei*, *Rohit Sroch*... | [
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Davlan/xlm-roberta-base-finetuned-xhosa | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
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},
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"max_length": null,
"min_length": null,
"no_repe... | 12 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- metrics:
- type: mean_reward
value: 663.50 +/- 171.13
name: mean_reward
task:
type: reinforcement-learning
... | [
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0... |
Davlan/xlm-roberta-base-finetuned-zulu | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
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"min_length": null,
"no_repe... | 3 | null | ---
language:
- en
license: apache-2.0
tags:
- dialogue-summarization
model_index:
- name: hybrid_utt-clusterrank_bart-base_samsum_sum
results:
- task:
name: Summarization
type: summarization
datasets:
- samsum
---
## Paper
## [Domain Adapted Abstractive Summarization of Dialogue using Transfer Learni... | [
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0... |
Davlan/xlm-roberta-base-wikiann-ner | [
"pytorch",
"tf",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
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],
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... | 235 | null | ---
language: en
thumbnail: http://www.huggingtweets.com/gronkh/1655071635259/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: 9... | [
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Dawit/DialogGPT-small-ironman | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"no_repeat_ngram_size... | 7 | 2022-06-12T22:23:41Z | ---
language:
- en
license: apache-2.0
tags:
- SEAD
datasets:
- glue
- qqp
---
## Paper
## [SEAD: SIMPLE ENSEMBLE AND KNOWLEDGE DISTILLATION FRAMEWORK FOR NATURAL LANGUAGE UNDERSTANDING](https://www.adasci.org/journals/lattice-35309407/?volumes=true&open=621a3b18edc4364e8a96cb63)
Aurthors: *Moyan Mei*, *Rohit Sroch*
... | [
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0.01... |
Daymarebait/Discord_BOT_RICK | [
"conversational"
] | conversational | {
"architectures": null,
"model_type": null,
"task_specific_params": {
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},
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"num_beams... | 3 | null | ---
language:
- en
license: apache-2.0
tags:
- SEAD
datasets:
- glue
- mnli
---
## Paper
## [SEAD: SIMPLE ENSEMBLE AND KNOWLEDGE DISTILLATION FRAMEWORK FOR NATURAL LANGUAGE UNDERSTANDING](https://www.adasci.org/journals/lattice-35309407/?volumes=true&open=621a3b18edc4364e8a96cb63)
Aurthors: *Moyan Mei*, *Rohit Sroch*... | [
-0.011119172908365726,
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-0.022960728034377098,
0.030653376132249832,
0.043963734060525894,
0.021177953109145164,
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0.03268906846642494,
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0.07478031516075134,
0.015097389928996563,
-0.015919359400868416,
0.03388324752449989,
0... |
Dayout/test | [] | null | {
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},
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"num_beams... | 0 | 2022-06-12T22:48:09Z | Trained on this model: https://huggingface.co/xhyi/PT_GPTNEO350_ATG/tree/main
```
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/GPTNeo350MInformalToFormalLincoln8")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/GPTNeo350MInformalToFormalLi... | [
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0.... |
Dazai/Ok | [] | null | {
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},
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"num_beams... | 0 | null | ---
language:
- en
license: apache-2.0
tags:
- SEAD
datasets:
- glue
- mnli
---
## Paper
## [SEAD: SIMPLE ENSEMBLE AND KNOWLEDGE DISTILLATION FRAMEWORK FOR NATURAL LANGUAGE UNDERSTANDING](https://www.adasci.org/journals/lattice-35309407/?volumes=true&open=621a3b18edc4364e8a96cb63)
Aurthors: *Moyan Mei*, *Rohit Sroch*... | [
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0... |
Dbluciferm3737/Idk | [] | null | {
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"num_beams... | 0 | 2022-06-12T23:05:19Z | ---
language:
- en
license: apache-2.0
tags:
- SEAD
datasets:
- glue
- wnli
---
## Paper
## [SEAD: SIMPLE ENSEMBLE AND KNOWLEDGE DISTILLATION FRAMEWORK FOR NATURAL LANGUAGE UNDERSTANDING](https://www.adasci.org/journals/lattice-35309407/?volumes=true&open=621a3b18edc4364e8a96cb63)
Aurthors: *Moyan Mei*, *Rohit Sroch*... | [
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0.01... |
Dbluciferm3737/U | [] | null | {
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"num_beams... | 0 | null | ---
language:
- en
license: apache-2.0
tags:
- SEAD
datasets:
- glue
- wnli
---
## Paper
## [SEAD: SIMPLE ENSEMBLE AND KNOWLEDGE DISTILLATION FRAMEWORK FOR NATURAL LANGUAGE UNDERSTANDING](https://www.adasci.org/journals/lattice-35309407/?volumes=true&open=621a3b18edc4364e8a96cb63)
Aurthors: *Moyan Mei*, *Rohit Sroch*... | [
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0.03252420201897621,
0.01... |
DecafNosebleed/DialoGPT-small-ScaraBot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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},
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"min_length": null,
"no_repeat_ngram_size... | 15 | null | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- metrics:
- type: mean_reward
value: 1.00 +/- 0.00
name: mean_reward
task:
type: reinforcement-learning
name: reinforc... | [
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0.020206740126013756,
... |
DecafNosebleed/ScaraBot | [] | null | {
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},
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"num_beams... | 0 | 2022-06-12T23:59:39Z | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- metrics:
- type: mean_reward
value: 7.52 +/- 2.73
name: mean_reward
task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Tax... | [
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Declan/NewYorkPost_model_v1 | [] | null | {
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"num_beams... | 0 | 2022-06-13T03:02:24Z | ---
language:
- en
license: apache-2.0
tags:
- roberta
- mutlimodal
- exbert
inference: false
---
# Taiyi-Roberta-124M-D-v2
- Github: [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM)
- Docs: [Fengshenbang-Docs](https://fengshenbang-doc.readthedocs.io/)
## 简介 Brief Introduction
使用了1M图文对进行特殊预训练的，... | [
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Declan/Reuters_model_v1 | [
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"no_repeat_ngram_size... | 3 | 2022-06-13T04:46:15Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-turkish-colab
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, the... | [
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DeepChem/ChemBERTa-5M-MLM | [
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"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngra... | 29 | 2022-06-13T05:26:13Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-base-finetuned-xsum-RAW_data_prep_2021_12_26___t22027_162754.csv__g_mt5_base_L5
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pro... | [
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DeepPavlov/rubert-base-cased | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"ru",
"arxiv:1905.07213",
"transformers",
"has_space"
] | feature-extraction | {
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"no_repeat_ngram_size": nul... | 148,127 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: opus-mt-en-sw-finetuned-en-to-sw
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. -->
# op... | [
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DivyanshuSheth/T5-Seq2Seq-Final | [] | null | {
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"num_beams... | 0 | 2022-06-13T12:25:56Z | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-fr
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
args: PAN-X.fr
metrics:
- name:... | [
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Waynehillsdev/wav2vec2-base-timit-demo-colab | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
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],
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"no_repeat_ngram_s... | 5 | 2022-06-13T13:38:21Z | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: jameswrbrookes/bert-finetuned-ner
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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Waynehillsdev/waynehills_sentimental_kor | [
"pytorch",
"electra",
"text-classification",
"transformers"
] | text-classification | {
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"... | 33 | 2022-06-13T13:38:44Z | ---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: roberta-base-mrpc
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: GLUE MRPC
type: glue
args: mrpc
metrics:
- typ... | [
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DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-75 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
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"no_rep... | 37 | 2022-06-13T14:32:48Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
model-index:
- name: bert-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metrics:
- name... | [
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DoyyingFace/bert-asian-hate-tweets-concat-clean-with-unclean-valid | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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"no_rep... | 25 | 2022-06-13T14:45:34Z | ---
language: en
thumbnail: http://www.huggingtweets.com/salgotrader/1655131582645/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; wid... | [
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albert-large-v1 | [
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"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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"no_repeat_ngram_... | 687 | 2022-06-13T15:05:05Z | ---
license: cc0-1.0
---
The roberta-base-ca-cased-qa is a Question Answering (QA) model for the Catalan language fine-tuned from the BERTa model, a RoBERTa base model pre-trained on a medium-size corpus collected from publicly available corpora and crawlers (check the BERTa model card for more details).
Datasets
We ... | [
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albert-xxlarge-v1 | [
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"no_repeat_ngram_... | 7,091 | 2022-06-13T15:14:39Z | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- metrics:
- type: mean_reward
value: 693.00 +/- 212.90
name: mean_reward
task:
type: reinforcement-learning
... | [
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bert-base-cased-finetuned-mrpc | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"no_repeat_ngram_size... | 11,644 | 2022-06-13T15:29:10Z | ---
title: TextGen
emoji: 🐠
colorFrom: yellow
colorTo: red
sdk: gradio
sdk_version: 3.0.14
app_file: app.py
pinned: false
license: other
---
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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bert-base-german-cased | [
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"no_repeat_ngram_size... | 175,983 | 2022-06-13T15:40:04Z | ---
language: en
thumbnail: http://www.huggingtweets.com/egbertchannel/1655135356461/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; w... | [
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bert-large-uncased-whole-word-masking | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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],
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"no_repeat_ngram_size... | 76,685 | 2022-06-13T16:28:49Z | ---
language: cy
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- hf-asr-leaderboard
- ken-lm
- robust-speech-event
- speech
license: apache-2.0
model-index:
- name: wav2vec2-xls-r-1b-ft-cy with KenLM language model (by Bangor University)
results:
- task:
name: Speech Rec... | [
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AT/distilbert-base-cased-finetuned-wikitext2 | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- gen_ffa
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: ff_analysis_4
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 co... | [
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0... |
Aleksandar/electra-srb-ner-setimes | [
"pytorch",
"electra",
"token-classification",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | token-classification | {
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],
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"no_... | 6 | null | Access to model sil-ai/wav2vec2-bloom-speech-fra is restricted and you are not in the authorized list. Visit https://huggingface.co/sil-ai/wav2vec2-bloom-speech-fra to ask for access. | [
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0.0... |
AlexN/xls-r-300m-pt | [
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"wav2vec2",
"automatic-speech-recognition",
"pt",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"robust-speech-event",
"mozilla-foundation/common_voice_8_0",
"generated_from_trainer",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | {
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"no_repeat_ngram_s... | 15 | null | ---
language:
- en
tags:
- NER
datasets:
- conll2003
---
bertweet-base (https://huggingface.co/vinai/bertweet-base) finetuned on CoNLL (2003) English, following https://github.com/huggingface/transformers/tree/main/examples/legacy/token-classification | [
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AnonARR/qqp-bert | [
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"no_rep... | 38 | null | ---
tags:
- conversational
---
# LucaChangretta DialoGPT Model | [
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tags:
- fastai
---
#Project Description
The project aims to classify a given text input of symptoms into a medical specialty that might be relevant to the symptoms. The model classifies the input into one of the 28 specialties, such as gastroenterologist, pediatrics, etc., that it was trained in.
#Model Descript... | [
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tags: autotrain
language: fr
widget:
- text: "I love AutoTrain 🤗"
datasets:
- ouiame/autotrain-data-trainproject
co2_eq_emissions: 894.9753853627794
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 985232782
- CO2 Emissions (in grams): 894.9753853627794
## Validation Metrics
- Loss... | [
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language: en
thumbnail: http://www.huggingtweets.com/asadabukhalil/1655304601394/predictions.png
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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language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: stsb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE STSB
type: glue
args: stsb
metrics:
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license: apache-2.0
---
# Pre-trained Language Model for the Humanities and Social Sciences in Chinese
## Introduction
The research for social science texts in Chinese needs the support natural language processing tools.
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"... | 27 | 2022-06-15T15:41:07Z | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
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- type: mean_reward
value: 1.00 +/- 0.00
name: mean_reward
task:
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"no_rep... | 28 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-issues-128
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. -->
# bert-b... | [
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"... | 26 | null | ---
tags:
- summarization
- ur
- encoder-decoder
- xlm-roberta
- Abstractive Summarization
- roberta
- generated_from_trainer
datasets:
- xlsum
model-index:
- name: xlmroberta2xlmroberta-finetune-summarization-ur
results: []
---
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"no_rep... | 33 | null | Access to model sil-ai/wav2vec2-bloom-speech-stk is restricted and you are not in the authorized list. Visit https://huggingface.co/sil-ai/wav2vec2-bloom-speech-stk to ask for access. | [
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AnonymousSub/rule_based_only_classfn_epochs_1_shard_1_squad2.0 | [
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library_name: keras
tags:
- generative
---
## Model description
This model demonstrates real-valued non-volume preserving (real NVP) transformations, a
tractable yet expressive approach to modeling high-dimensional data.
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license: mit
tags:
- generated_from_trainer
model-index:
- name: CUBERT
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. -->
# CUBERT
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library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
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- type: mean_reward
value: 594.50 +/- 167.46
name: mean_reward
task:
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license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: inquisitive2
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. -->
# inquisitive2
This mod... | [
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AnonymousSub/rule_based_roberta_only_classfn_epochs_1_shard_1_wikiqa | [
"pytorch",
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"transformers"
] | text-classification | {
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"... | 27 | null |
---
license: cc-by-4.0
metrics:
- bleu4
- meteor
- rouge-l
- bertscore
- moverscore
language: en
datasets:
- lmqg/qg_squadshifts
pipeline_tag: text2text-generation
tags:
- question generation
widget:
- text: "generate question: <hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James i... | [
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AnonymousSub/rule_based_roberta_only_classfn_twostage_epochs_1_shard_1_wikiqa | [
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"... | 24 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- metrics:
- type: mean_reward
value: 699.00 +/- 184.58
name: mean_reward
task:
type: reinforcement-learning
... | [
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AnonymousSub/rule_based_roberta_twostage_quadruplet_epochs_1_shard_1_squad2.0 | [
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"no_re... | 4 | null | Access to model sil-ai/wav2vec2-bloom-speech-tpi is restricted and you are not in the authorized list. Visit https://huggingface.co/sil-ai/wav2vec2-bloom-speech-tpi to ask for access. | [
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AnonymousSub/rule_based_roberta_twostagetriplet_epochs_1_shard_1_squad2.0 | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
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"no_re... | 4 | null | ---
library_name: keras
tags:
- semi-supervised
- image classification
- domain adaption
datasets:
- MNIST
- SVHN
---
## Model description
This is an image classification model based on a [WideResNet-2-28](https://arxiv.org/abs/1605.07146v4), trained using the [AdaMatch](https://arxiv.org/abs/2106.04732) method by Be... | [
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"... | 24 | null | Access to model justpyschitry/Medical_Article_Classifier_by_ICD-11_Chapter is restricted and you are not in the authorized list. Visit https://huggingface.co/justpyschitry/Medical_Article_Classifier_by_ICD-11_Chapter to ask for access. | [
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AnonymousSub/rule_based_roberta_twostagetriplet_hier_epochs_1_shard_1 | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
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],
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"no_repeat_ngram_size... | 5 | null | ---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- justpyschitry/autotrain-data-Psychiatry_Article_Identifier
co2_eq_emissions: 13.4308931494349
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 990132822
- CO2 Emissions (in grams): 13.43089314... | [
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Anthos23/test_trainer | [] | null | {
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tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-spanish-wwm-cased-finetuned-emotion
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 comme... | [
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ArtemisZealot/DialoGTP-small-Qkarin | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 9 | null | ---
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
args: default... | [
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AshiNLP/Bert_model | [] | null | {
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"num_beams... | 0 | null | ---
language:
- fr
tags:
- nli
metrics:
- f1
---
## Eval results
We obtain the following results on ```validation``` and ```test``` sets:
| Set | F1<sub>micro</sub> | F1<sub>macro</sub> |
|------------|--------------------|--------------------|
| validation | 73.5 | 73.3 |
| test ... | [
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Ayham/xlnet_gpt2_summarization_cnn_dailymail | [
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"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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"no_re... | 8 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: bart-large-finetuned-filtered-spotify-podcast-summ
results: []
---
# bart-large-finetuned-filtered-spotify-podcast-summ
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on on th... | [
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Ayham/xlnet_gpt2_summarization_xsum | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:xsum",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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"no_re... | 13 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: modelo_lm_financial
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. -->
# modelo_lm_finan... | [
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Ayham/xlnet_roberta_summarization_cnn_dailymail | [
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"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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"no_re... | 10 | null | ---
language: en
thumbnail: http://www.huggingtweets.com/unknownco123/1655396407192/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; wi... | [
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Ayjayo/DialoGPT-medium-AyjayoAI | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 12 | null | ---
language:
- Python 3.7+
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet
- imagenet-21k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.j... | [
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Aymene/opus-mt-en-ro-finetuned-en-to-ro | [] | null | {
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language: en
license: mit
tags:
- keyphrase-extraction
datasets:
- midas/kptimes
metrics:
- seqeval
widget:
- text: "Keyphrase extraction is a technique in text analysis where you extract the important keyphrases from a document.
Thanks to these keyphrases humans can understand the content of a text very quickly ... | [
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Ayoola/cdial-yoruba-test | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"has_space"
] | automatic-speech-recognition | {
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"no_repeat_ngram_s... | 25 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: T5-summarizer-simple-wiki-v2
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. -->
# T5-sum... | [
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AyushPJ/ai-club-inductions-21-nlp-ELECTRA-base-squad | [
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"electra",
"question-answering",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | {
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},
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"no_re... | 12 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {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 cluster... | [
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0.04092745... |
Azaghast/GPT2-SCP-Descriptions | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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"no_repeat_ngram_size... | 5 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {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 cluster... | [
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Azaghast/GPT2-SCP-Miscellaneous | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 5 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {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 cluster... | [
-0.03682786226272583,
-0.017038146033883095,
-0.016540275886654854,
0.0510595329105854,
0.01117929257452488,
0.04447409510612488,
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0.08364398777484894,
0.03946809098124504,
0.013144438154995441,
0.00234610796906054,
0.04092745... |
Azizun/Geotrend-10-epochs | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 6 | 2022-06-16T18:17:25Z | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {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 cluster... | [
-0.03682786226272583,
-0.017038146033883095,
-0.016540275886654854,
0.0510595329105854,
0.01117929257452488,
0.04447409510612488,
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0.08364398777484894,
0.03946809098124504,
0.013144438154995441,
0.00234610796906054,
0.04092745... |
Azuris/DialoGPT-medium-senorita | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 14 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {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 cluster... | [
-0.03682786226272583,
-0.017038146033883095,
-0.016540275886654854,
0.0510595329105854,
0.01117929257452488,
0.04447409510612488,
-0.01840854622423649,
-0.002739659510552883,
-0.070090651512146,
0.08364398777484894,
0.03946809098124504,
0.013144438154995441,
0.00234610796906054,
0.04092745... |
BE/demo-sentiment2021 | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
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},
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"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
widget:
- text: "PROCEDURE: Chest xray. COMPARISON: last seen on 1/1/2020 and also record dated of March 1st, 2019. FINDINGS: patchy airspace opacities. IMPRESSION: The results of the chest xray of January 1 2020 are the most concerning ones. The patient was transmitted to another service of UH Medical Center under... | [
-0.015724094584584236,
-0.035262785851955414,
-0.0072782509960234165,
0.03952794522047043,
0.05332295596599579,
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0.053108036518096924,
0.029511073604226112,
0.015862446278333664,
-0.0023046110291033983,
... |
BSC-LT/roberta-base-biomedical-es | [
"pytorch",
"roberta",
"fill-mask",
"es",
"arxiv:2109.03570",
"arxiv:2109.07765",
"transformers",
"biomedical",
"spanish",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
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"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 161 | null | ---
language: zh
datasets:
- aishell1
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Large 53 - Chinese (zh-CN), by Yue Qin
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
... | [
-0.04621357098221779,
-0.02383686602115631,
-0.0037679942324757576,
0.038228776305913925,
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0.06052139401435852,
0.01624998077750206,
-0.007778208702802658,
0.004206164740025997,
0.... |
BSC-LT/roberta-base-ca | [
"pytorch",
"roberta",
"fill-mask",
"ca",
"transformers",
"masked-lm",
"BERTa",
"catalan",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngra... | 18 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: M2_MLM
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. -->
# M2_MLM
This model is a fine-tuned ... | [
-0.03804049640893936,
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-0.008484556339681149,
0.03942418843507767,
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0.04836098477244377,
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0.00877753458917141,
0.0... |
BSC-LT/roberta-large-bne-capitel-pos | [
"pytorch",
"roberta",
"token-classification",
"es",
"dataset:bne",
"dataset:capitel",
"arxiv:1907.11692",
"arxiv:2107.07253",
"transformers",
"national library of spain",
"spanish",
"bne",
"capitel",
"pos",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"RobertaForTokenClassification"
],
"model_type": "roberta",
"task_specific_params": {
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"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_... | 13 | null | ---
tags:
- generated_from_trainer
model-index:
- name: M3_MLM
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. -->
# M3_MLM
This model is a fine-tuned version of [S... | [
-0.041686344891786575,
-0.01218294445425272,
-0.027924833819270134,
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0.05252130702137947,
0.04408440738916397,
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-0.0034289914183318615,
0... |
BSC-LT/roberta-large-bne-sqac | [
"pytorch",
"roberta",
"question-answering",
"es",
"dataset:BSC-TeMU/SQAC",
"arxiv:1907.11692",
"arxiv:2107.07253",
"transformers",
"national library of spain",
"spanish",
"bne",
"qa",
"question answering",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"RobertaForQuestionAnswering"
],
"model_type": "roberta",
"task_specific_params": {
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"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 15 | 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
style="display:inherit; margin-left: 4px; margin-right: 4... | [
0.008861194364726543,
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0.037469033151865005,
0.0433293953537941,
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0.04065997153520584,
-0.008000177331268787,
-0.013804414309561253,
0.005352279171347618,
0... |
Badr/model1 | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- ouiame/autotrain-data-Robertatogpt2
co2_eq_emissions: 2.4722651844547827
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 995132940
- CO2 Emissions (in grams): 2.4722651844547827
## Validation Metrics
- ... | [
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0.0744490697979927,
0.008594020269811153,
0.02875937893986702,
0.008684509433805943,
0.0... |
Bagus/ser-japanese | [] | null | {
"architectures": null,
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"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
language:
- Python 3.7+
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet
- imagenet-21k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.j... | [
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0.046700190752744675,
0.003744135145097971,
0.00652716401964426,
0.014995431527495384,
0... |
Batsy24/DialoGPT-medium-Twilight_BellaBot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 8 | null | ---
tags:
- conversational
---
# The world machine DialoGPT model | [
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0.01461323257535696,
0.008362557739019394,
0.01660521700978279,
0.02183774672448635,
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0.030001314356923103,
0.030893873423337936,
-0.014972271397709846,
0.0062689208425581455,
0.02... |
BatuhanYilmaz/bert-finetuned-nerxD | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2022-06-16T22:41:08Z | ---
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
style="display:inherit; margin-left: 4px; margin-right: 4... | [
0.006806452292948961,
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0.002236990723758936,
0.039172250777482986,
0.04928690567612648,
0.011900748126208782,
-0.028962554410099983,
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0.03553853556513786,
-0.008195222355425358,
-0.006617352366447449,
0.0021112500689923763,
... |
BatuhanYilmaz/dummy-model | [
"tf",
"camembert",
"fill-mask",
"transformers",
"generated_from_keras_callback",
"license:mit",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"CamembertForMaskedLM"
],
"model_type": "camembert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_... | 6 | null | ---
tags:
- conversational
---
# AgedBlaine DialoGPT Model 2 | [
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0.02086721546947956,
0.02760947495698929,
-0.027855364605784416,
0.009498685598373413,
0.... |
BatuhanYilmaz/marian-finetuned-kde4-en-to-fr | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
language: en
thumbnail: http://www.huggingtweets.com/rihanna/1655745706641/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: ... | [
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0.03235676884651184,
0.011479643173515797,
0.00353578245267272,
-0.016671571880578995,
0.024... |
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