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 |
|---|---|---|---|---|---|---|---|
bert-base-multilingual-uncased | [
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... | fill-mask | {
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"no_repeat_ngram_size... | 328,585 | 2022-05-03T23:52:57Z | ---
language:
- en
datasets:
- pubmed
metrics:
- f1
pipeline_tag: text-classification
widget:
- text: "many pathogenic processes and diseases are the result of an erroneous activation of the complement cascade and a number of inhibitors of complement have thus been examined for anti-inflammatory actions."
example_tit... | [
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bert-large-cased-whole-word-masking-finetuned-squad | [
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"safetensors",
"bert",
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"transformers",
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] | question-answering | {
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"no_repeat_n... | 8,214 | 2022-05-04T00:14:18Z | ---
language:
- en
datasets:
- pubmed
- ml4pubmed/pubmed-classification-20k
metrics:
- f1
tags:
- text-classification
- document sections
- sentence classification
- document classification
- medical
- health
- biomedical
pipeline_tag: text-classification
widget:
- text: >-
many pathogenic processes and diseases ar... | [
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bert-large-cased-whole-word-masking | [
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"no_repeat_ngram_size... | 2,316 | 2022-05-04T00:23:49Z | ---
language:
- en
datasets:
- pubmed
metrics:
- f1
pipeline_tag: text-classification
widget:
- text: "Many pathogenic processes and diseases are the result of an erroneous activation of the complement cascade and a number of inhibitors of complement have thus been examined for anti-inflammatory actions."
example_tit... | [
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bert-large-uncased-whole-word-masking-finetuned-squad | [
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"jax",
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"bert",
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"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
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] | question-answering | {
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"no_repeat_n... | 480,510 | 2022-05-04T01:20:24Z | ---
tags:
- conversational
---
# Mandy Bot DialoGPT Model | [
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bert-large-uncased-whole-word-masking | [
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"bert",
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"dataset:bookcorpus",
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"no_repeat_ngram_size... | 76,685 | 2022-05-04T01:32:45Z | ---
language:
- en
datasets:
- pubmed
metrics:
- f1
tags:
- text-classification
- document sections
- sentence classification
- document classification
- medical
- health
- biomedical
pipeline_tag: text-classification
widget:
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bert-large-uncased | [
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"no_repeat_ngram_size... | 1,058,496 | 2022-05-04T01:44:12Z | ---
language: en
thumbnail: http://www.huggingtweets.com/dril-nycguidovoice-senn_spud/1651629321136/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; margi... | [
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camembert-base | [
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"no_repeat_... | 1,440,898 | 2022-05-04T01:48:49Z | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Xzt/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. -->
# Xzt/bert-fi... | [
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0.... |
distilbert-base-cased | [
"pytorch",
"tf",
"onnx",
"distilbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1910.01108",
"transformers",
"license:apache-2.0",
"has_space"
] | null | {
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"n... | 574,859 | 2022-05-04T02:46:12Z | ---
license: apache-2.0
---
# Taiyi-vit-87M-D
- Github: [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM)
- Docs: [Fengshenbang-Docs](https://fengshenbang-doc.readthedocs.io/)
## 简介 Brief Introduction
COCO和VG上特殊预训练的，英文版的MAP（名称暂定）的视觉端ViT-base。
Special pre-training on COCO and VG, the visual encoder fo... | [
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distilbert-base-uncased-finetuned-sst-2-english | [
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"rust",
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"distilbert",
"text-classification",
"en",
"dataset:sst2",
"dataset:glue",
"arxiv:1910.01108",
"doi:10.57967/hf/0181",
"transformers",
"license:apache-2.0",
"model-index",
"has_space"
] | text-classification | {
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],
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... | 3,060,704 | 2022-05-04T03:52:17Z | ---
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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distilgpt2 | [
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"rust",
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"safetensors",
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"text-generation",
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"arxiv:2203.12574",
"arxiv:1910.09700",
"arxiv:1503.02531",
"transformers",
"exbert",
"license:apache-2.0",
"model-... | text-generation | {
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"no_repeat_ngram_size... | 1,611,668 | 2022-05-04T04:07:58Z | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: datauma/mt5-small-finetuned-amazon-en-es
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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xlm-mlm-ende-1024 | [
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"no_repeat_ngram_si... | 287 | 2022-05-04T08:55:56Z | ---
license: mit
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: data2vec-text-base-finetuned-rte
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: rte
metrics:
- name: Accuracy... | [
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007J/smile | [] | null | {
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"num_beams... | 0 | 2022-05-04T10:10:10Z | ---
license: mit
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a Vietnamese [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be use... | [
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0xDEADBEA7/DialoGPT-small-rick | [
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"text-generation",
"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 9 | 2022-05-04T10:29:07Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-tcrs-runtest
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. -->
# wav2vec2-tcrs... | [
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AAli/wav2vec2-base-finetuned-ks | [] | null | {
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"num_beams... | 0 | 2022-05-04T16:08:55Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 286.36 +/- 12.71
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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AK270802/DialoGPT-small-harrypotter | [
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] | conversational | {
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"no_repeat_ngram_size... | 10 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 267.56 +/- 15.74
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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AKulk/wav2vec2-base-timit-demo-colab | [] | null | {
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
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library_name: stable-baselines3
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library_name: stable-baselines3
tags:
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library_name: stable-baselines3
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library_name: stable-baselines3
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library_name: stable-baselines3
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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 Keras had access to. You should
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library_name: stable-baselines3
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library_name: stable-baselines3
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"no_re... | 111 | 2022-05-04T18:54:19Z | ---
library_name: stable-baselines3
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... | 35 | null | ---
license: apache-2.0
tags:
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model-index:
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---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
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library_name: stable-baselines3
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library_name: stable-baselines3
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"no_rep... | 39 | 2022-05-04T19:03:25Z | ---
library_name: stable-baselines3
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library_name: stable-baselines3
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... | 39 | 2022-05-04T19:28:11Z | ---
language: en
thumbnail: http://www.huggingtweets.com/kanyewest-usmnt-zlisto/1651692574685/predictions.png
tags:
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library_name: stable-baselines3
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license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-large-cnn-finetuned-roundup-2-8
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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AT/distilbert-base-cased-finetuned-wikitext2 | [] | null | {
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 273.85 +/- 20.83
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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AT/distilgpt2-finetuned-wikitext2 | [] | null | {
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"num_beams... | 0 | 2022-05-04T20:03:20Z | ---
license: mit
tags:
- generated_from_trainer
datasets:
- germa_ner
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-german-cased-fine-tuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: germa_ner
type: germa_ner
... | [
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ATGdev/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 16 | 2022-05-04T20:12:04Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: -2071.55 +/- 941.00
name: mean_reward
task:
type: reinforcement-learning
name:... | [
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ATGdev/ai_ironman | [] | null | {
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 295.94 +/- 13.13
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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AUBMC-AIM/MammoGANesis | [
"license:cc-by-nc-4.0",
"has_space"
] | null | {
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"num_beams... | 0 | 2022-05-04T20:18:06Z | ```
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/GPT2InformalToFormalLincoln42")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/GPT2InformalToFormalLincoln42")
```
```
How To Make Prompt:
informal english: i am very ready to do that just t... | [
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AUBMC-AIM/OCTaGAN | [
"license:cc-by-nc-4.0",
"has_space"
] | null | {
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 282.72 +/- 23.16
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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AVSilva/bertimbau-large-fine-tuned-sd | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:mit",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 10 | 2022-05-04T20:51:51Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: ppo
results:
- metrics:
- type: mean_reward
value: 231.79 +/- 19.49
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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AdapterHub/bert-base-uncased-pf-cosmos_qa | [
"bert",
"en",
"dataset:cosmos_qa",
"arxiv:2104.08247",
"adapter-transformers",
"adapterhub:comsense/cosmosqa"
] | null | {
"architectures": null,
"model_type": "bert",
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},
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"num_bea... | 2 | null | ---
tags:
- generated_from_trainer
model-index:
- name: gpt2-fr-eos-paco-cheese
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt2-fr-eos-paco-cheese
This m... | [
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... |
AethiQs-Max/cross_encoder | [] | null | {
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 248.52 +/- 19.00
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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-0.... |
AiPorter/DialoGPT-small-Back_to_the_future | [
"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... | 7 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-rater
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. -->
# distilbert-rater
... | [
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0.04... |
Akiva/Joke | [] | null | {
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},
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 215.27 +/- 12.72
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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-... |
AkshaySg/langid | [
"multilingual",
"dataset:VoxLingua107",
"speechbrain",
"audio-classification",
"embeddings",
"Language",
"Identification",
"pytorch",
"ECAPA-TDNN",
"TDNN",
"VoxLingua107",
"license:apache-2.0"
] | audio-classification | {
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},
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"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 2 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: ppo-LunarLander-v2
results:
- metrics:
- type: mean_reward
value: 197.02 +/- 73.63
name: mean_reward
task:
type: reinforcement-learning... | [
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0.018122805282473564,
-... |
Akuva2001/SocialGraph | [
"has_space"
] | null | {
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},
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 168.17 +/- 105.80
name: mean_reward
task:
type: reinforcement-learning
name: r... | [
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-... |
Aleksandar/bert-srb-ner-setimes-lr | [] | null | {
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},
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- filipino_voice
model-index:
- name: english-filipino-wav2vec2-l-xls-r-test-02
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it,... | [
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Aleksandar/bert-srb-ner-setimes | [
"pytorch",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
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},
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"max_length": null,
"min_length": null,
"no_repeat... | 8 | null | ---
language: en
license: apache-2.0
datasets:
- Super-NaturalInstructions
---
# Model description
Tk-Instruct is a series of encoder-decoder Transformer models that are trained to solve various NLP tasks by following in-context instructions (plain language task definitions, k-shot examples, explanations, etc). Built... | [
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Aleksandar/bert-srb-ner | [
"pytorch",
"bert",
"token-classification",
"dataset:wikiann",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | token-classification | {
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"BertForTokenClassification"
],
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},
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"min_length": null,
"no_repeat... | 4 | null | ---
license: mit
language: de
widget:
- text: "In einer schockierenden Entdeckung fanden Wissenschaftler eine Herde Einhörner, die in einem abgelegenen, zuvor unerforschten Tal in den Anden lebten."
---
# Replication of [gpt2-wechsel-german](https://huggingface.co/benjamin/gpt2-wechsel-german)
- trained with [BigScie... | [
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Aleksandar/distilbert-srb-base-cased-oscar | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"DistilBertForMaskedLM"
],
"model_type": "distilbert",
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},
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"min_length": null,
"no_repea... | 4 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 239.95 +/- 17.78
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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-0.0... |
Aleksandar1932/gpt2-hip-hop | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 8 | null | ---
language: en
thumbnail: http://www.huggingtweets.com/theovalpawffice/1651782387551/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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Aleksandar1932/gpt2-pop | [
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"no_repeat_ngram_size... | 8 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 254.31 +/- 23.37
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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Aleksandar1932/gpt2-rock-124439808 | [
"pytorch",
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"text-generation",
"transformers"
] | text-generation | {
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],
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"no_repeat_ngram_size... | 11 | null | ---
tags:
- conversational
---
# RickBot built for [Chai](https://chai.ml/)
Make your own [here](https://colab.research.google.com/drive/1o5LxBspm-C28HQvXN-PRQavapDbm5WjG?usp=sharing)
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Aleksandra/distilbert-base-uncased-finetuned-squad | [] | null | {
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"num_beams... | 0 | 2022-05-05T20:43:34Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
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- stable-baselines3
model-index:
- name: PPO
results:
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value: 273.94 +/- 11.64
name: mean_reward
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AlekseyKulnevich/Pegasus-Summarization | [
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] | text2text-generation | {
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"n... | 7 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
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value: 272.58 +/- 19.42
name: mean_reward
task:
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name: re... | [
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Alerosae/SocratesGPT-2 | [
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"feature-extraction",
"en",
"transformers",
"text-generation"
] | text-generation | {
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"no_repeat_ngram_size": nul... | 7 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-reviews-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-... | [
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AlexN/xls-r-300m-fr-0 | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"fr",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"mozilla-foundation/common_voice_8_0",
"generated_from_trainer",
"robust-speech-event",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | {
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],
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"no_repeat_ngram_s... | 4 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 285.97 +/- 19.96
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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AlexaRyck/KEITH | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: HomayounSadri/distilbert-base-uncased-finetuned-squad
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 t... | [
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Alexander-Learn/bert-finetuned-ner-accelerate | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
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],
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"no_repeat... | 4 | null | ---
tags:
- keras
- image-to-image
- pixelwise-segmentation
datasets:
- DIBCO
- H-DIBCO
license: apache-2.0
---
# Model Card for sbb_binarization
<!-- Provide a quick summary of what the model is/does. [Optional] -->
This is a pixelwise segmentation model for document image binarization.
The model is a hybrid ... | [
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Alexander-Learn/bert-finetuned-ner | [
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] | token-classification | {
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"no_repeat... | 8 | null | ---
language: en
tags:
- exbert
license: mit
widget:
- text: "Left pleural effusion with adjacent [MASK]."
example_title: "Radiology 1"
- text: "Heart size normal and lungs are [MASK]."
example_title: "Radiology 2"
- text: "[MASK] is a tumor suppressor gene."
example_title: "Biomedical"
- text: "The patient was o... | [
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Alexander-Learn/bert-finetuned-squad-accelerate | [] | null | {
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
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- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: -357.14 +/- 83.17
name: mean_reward
task:
type: reinforcement-learning
name: r... | [
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AlexeyIgnatov/albert-xlarge-v2-squad-v2 | [] | null | {
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"num_beams... | 0 | null | ---
language: en
license: apache-2.0
datasets:
- Super-NaturalInstructions
---
# Model description
Tk-Instruct is a series of encoder-decoder Transformer models that are trained to solve various NLP tasks by following in-context instructions (plain language task definitions, k-shot examples, explanations, etc). Built... | [
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AlexeyYazev/my-awesome-model | [] | null | {
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library_name: stable-baselines3
tags:
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- deep-reinforcement-learning
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- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
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value: 267.99 +/- 15.88
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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Alfia/anekdotes | [] | null | {
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
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AliReza/distilbert-emotion | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: ALL-test
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9572474360466003
---
# ALL-test
Autogenerated ... | [
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Alicanke/Wyau | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- filipino_voice
model-index:
- name: english-filipino-wav2vec2-l-xls-r-test-04
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it,... | [
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Alireza1044/albert-base-v2-cola | [
"pytorch",
"tensorboard",
"albert",
"text-classification",
"en",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
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},
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no... | 32 | null | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: ALL-94.5
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9452415704727173
---
# ALL-94.5
Autogenerated ... | [
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Alireza1044/albert-base-v2-mnli | [
"pytorch",
"albert",
"text-classification",
"en",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | text-classification | {
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],
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},
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"max_length": null,
"min_length": null,
"no... | 235 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO MLP Policy Architecture
results:
- metrics:
- type: mean_reward
value: 143.60 +/- 115.75
name: mean_reward
task:
type: reinforcemen... | [
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Alireza1044/albert-base-v2-mrpc | [
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"albert",
"text-classification",
"en",
"dataset:glue",
"transformers",
"generated_from_trainer",
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] | text-classification | {
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library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
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value: 278.81 +/- 19.74
name: mean_reward
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Altidore/DuggFace | [] | null | {
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library_name: stable-baselines3
tags:
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model-index:
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value: 277.15 +/- 21.48
name: mean_reward
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Amalq/distilroberta-base-finetuned-MentalHealth | [] | null | {
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"num_beams... | 0 | 2022-05-06T03:42:01Z | ---
license: apache-2.0
---
The ch-w2v-conformer model uses following datasets to pretrain:
ISML datasets (6 languages,70k hours): internal dataset contains 40k hours Chinese, Cantonese, Tibetan, Inner Mongolian, Inner Kazakh, Uighur.
Babel datasets (17 languages, 2k hours): Assamese, Bengali, Cantonese, Cebuano, G... | [
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library_name: stable-baselines3
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Andrija/SRoBERTa-base | [
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library_name: stable-baselines3
tags:
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- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 265.94 +/- 12.97
name: mean_reward
task:
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name: re... | [
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AndyyyCai/bert-base-uncased-finetuned-copa | [
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"no_repeat_ngra... | 4 | null | ---
language:
- nl
- en
datasets:
- yhavinga/mc4_nl_cleaned
tags:
- t5
- seq2seq
inference: false
license: apache-2.0
---
# t5-eff-large-8l-dutch-english-cased
A [T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) sequence to sequence model
pre-trained from scratch on [cleaned Dutch 🇳🇱... | [
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Anirbanbhk/Hate-speech-Pretrained-movies | [
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"no_rep... | 20 | null | ---
library_name: stable-baselines3
tags:
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model-index:
- name: PPO
results:
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value: 281.35 +/- 15.31
name: mean_reward
task:
type: reinforcement-learning
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Ankit-11/distilbert-base-uncased-finetuned-toxic | [] | null | {
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license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-large-cnn-finetuned-roundup-4-8
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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Ankitha/DialoGPT-small-harrypottery | [] | null | {
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license: mit
tags:
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metrics:
- rouge
model-index:
- name: bart-large-cnn-finetuned-roundup-4-4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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AnonymousSub/AR_EManuals-RoBERTa | [
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library_name: stable-baselines3
tags:
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model-index:
- name: PPO
results:
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value: 230.18 +/- 16.20
name: mean_reward
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license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: distilbart-cnn-12-6-finetuned-roundup-4-8
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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license: cc-by-4.0
---
# Aurora SDG AI
This model is able to classify texts related to SDG's in multiple languages. | [
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language: en
tags:
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license: mit
---
# MultiCite: Multi-label Citation Intent Classification with SciBERT (NAACL 2022)
This model has been trained on the data available here: https://github.com/allenai/multicite | [
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tags:
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model-index:
- name: albert-base-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. -->
# albert-base-v2
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"... | 29 | null | ---
library_name: stable-baselines3
tags:
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model-index:
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results:
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value: -113.24 +/- 33.86
name: mean_reward
task:
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library_name: stable-baselines3
tags:
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model-index:
- name: PPO
results:
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value: 288.54 +/- 20.64
name: mean_reward
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license: apache-2.0
tags:
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model-index:
- name: distilroberta-base-finetuned-bruno-mars
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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license: mit
tags:
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---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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language: en
thumbnail: http://www.huggingtweets.com/trancentrall/1651861073034/predictions.png
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library_name: stable-baselines3
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---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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language: en
license: apache-2.0
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---
# Model description
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license: apache-2.0
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
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library_name: stable-baselines3
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metrics:
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---
<!-- 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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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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