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 |
|---|---|---|---|---|---|---|---|
AlexDemon/Alex | [] | null | {
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"num_beams... | 0 | null | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- cjbarrie/autotrain-data-traintest-sentiment-split
co2_eq_emissions: 3.1566482249518177
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1024534825
- CO2 Emissions (in grams): 3.1566482249518177
## ... | [
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AlexMaclean/sentence-compression-roberta | [
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"transformers",
"generated_from_trainer",
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"autotrain_compatible"
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"no_... | 13 | null | ---
library_name: stable-baselines3
tags:
- BeamRiderNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: QRDQN
results:
- metrics:
- type: mean_reward
value: 13335.00 +/- 5701.88
name: mean_reward
task:
type: reinforcement-learning... | [
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AlexN/xls-r-300m-fr-0 | [
"pytorch",
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"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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"no_repeat_ngram_s... | 4 | null | ---
language:
- en
- ru
license: apache-2.0
tags:
- gpt
- NLG
---
# YaLM 100B
https://github.com/yandex/YaLM-100B
**YaLM 100B** is a GPT-like neural network for generating and processing text. It can be used freely by developers and researchers from all over the world.
The model leverages 100 billion paramet... | [
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Alexander-Learn/bert-finetuned-ner-accelerate | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
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"no_repeat... | 4 | null | ### 作文模型
使用方法，请参考[Python 自动写作文库](https://github.com/WindowsRegedit/zuowen)
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AliReza/distilbert-emotion | [] | null | {
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"num_beams... | 0 | 2022-06-23T09:29:19Z | ---
tags:
- generated_from_trainer
datasets:
- samsum
model-index:
- name: pegasus-samsum
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. -->
# pegasus-samsum
This ... | [
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0.0... |
Alicanke/Wyau | [] | null | {
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"num_beams... | 0 | 2022-06-23T09:32:13Z | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- metrics:
- type: mean_reward
value: 274.50 +/- 31.50
name: mean_reward
task:
type: reinforcement-learning
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Alireza1044/albert-base-v2-stsb | [
"pytorch",
"tensorboard",
"albert",
"text-classification",
"en",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
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"no... | 37 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-wikitext2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# dist... | [
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Alireza1044/dwight_bert_lm | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 14 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-erichmariaremarque
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. -->
# disti... | [
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Alireza1044/michael_bert_lm | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 10 | null | ---
language:
- en
tags:
- pytorch
- text-generation
- causal-lm
- rwkv
license: apache-2.0
datasets:
- The Pile
---
# RWKV-3 1.5B
## Model Description
RWKV-3 1.5B is a L24-D2048 causal language model trained on the Pile. See https://github.com/BlinkDL/RWKV-LM for details.
RWKV-4 1.5B is out: https://huggingface.c... | [
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Amba/wav2vec2-large-xls-r-300m-turkish-colab | [] | null | {
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"num_beams... | 0 | null | ---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- hellennamulinda/autotrain-data-agric-eng-lug
co2_eq_emissions: 0.04087910671538076
---
# Model Trained Using AutoTrain
- Problem type: Translation
- Model ID: 1026034854
- CO2 Emissions (in grams): 0.04087910671538076
## Validation M... | [
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AmirHussein/test | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
- 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.jpg
example_title: Teap... | [
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Andrija/SRoBERTa-XL-NER | [
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"token-classification",
"hr",
"sr",
"multilingual",
"dataset:hr500k",
"transformers",
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"no_... | 6 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: prahlad/rotten_model
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. -->
# prahlad/rotte... | [
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AnonymousSub/AR_rule_based_roberta_bert_triplet_epochs_1_shard_1 | [
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"no_repeat_ngram_size... | 4 | null | ---
license: apache-2.0
tags:
- automatic-speech-recognition
- gary109/AI_Light_Dance
- generated_from_trainer
model-index:
- name: ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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AnonymousSub/AR_rule_based_roberta_bert_triplet_epochs_1_shard_10 | [
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"no_repeat_ngram_size... | 10 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: jwang/tuned-t5
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. -->
# jwang/tuned-t5
Thi... | [
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"no_repeat_ngram_size... | 6 | null | ---
license: bsl-1.0
---
https://www.humhealth.com/remote-patient-monitoring/
https://www.humhealth.com/chronic-care-management/
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"no_repeat_ngram_size... | 8 | null | Access to model MahmoudAbdullah99/wav2vec-speech-model is restricted and you are not in the authorized list. Visit https://huggingface.co/MahmoudAbdullah99/wav2vec-speech-model to ask for access. | [
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AnonymousSub/T5_pubmedqa_question_generation | [
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license: apache-2.0
language: en
tags:
- generated_from_trainer
datasets:
- speech_commands
metrics:
- accuracy
model-index:
- name: wav2vec2-conformer-rel-pos-large-finetuned-speech-commands
results:
- task:
type: audio-classification
name: audio classification
dataset:
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AnonymousSub/bert_hier_diff_equal_wts_epochs_1_shard_1 | [
"pytorch",
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"no_repeat_ngram_size": nul... | 4 | 2022-06-24T13:25:01Z | ---
tags:
- text-classification
- generated_from_trainer
model-index:
- name: BioM-ALBERT-xxlarge-finetuned-DAGPap22
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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AnonymousSub/declutr-model-emanuals | [
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tags:
- fastai
title: Blurr Sentiment Classification
emoji: 🐠
colorFrom: green
colorTo: indigo
sdk: gradio
sdk_version: 2.9.4
app_file: app.py
pinned: false
license: apache-2.0
---
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card w... | [
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license: apache-2.0
tags:
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metrics:
- precision
- recall
- f1
- accuracy
model-index:
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results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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"no_re... | 2 | 2022-06-24T17:27:34Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec_cv
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. -->
# wav2vec_cv
This model i... | [
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"no_repeat_ngra... | 4 | null | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- deepesh0x/autotrain-data-finetunedmodelbert
co2_eq_emissions: 7.1805069109958835
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1034335535
- CO2 Emissions (in grams): 7.1805069109958835
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"no_rep... | 39 | null | ---
library_name: keras
---
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Model Plot
<details>
<summary>View Model Plot</summary>
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library_name: keras
---
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Model Plot
<details>
<summary>View Model Plot</summary>
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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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"no_repeat_n... | 3 | null | | Feature | Description |
| --- | --- |
| **Name** | `en_ethicalads_topics` |
| **Version** | `20221006_18_20_26` |
| **spaCy** | `>=3.4.1,<3.5.0` |
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"no_rep... | 31 | 2022-06-24T20:59:45Z | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-wikitext2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt2-wikitext2
This model ... | [
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library_name: generic
tags:
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--- | [
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tags:
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model-index:
- name: nlp-esg-scoring/bert-base-finetuned-esg-a4s
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. -->
# nlp-esg-sc... | [
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license: apache-2.0
tags:
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model-index:
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results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base... | [
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"no_rep... | 30 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: bert-finetuned-squad
results: []
---
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license: mit
tags:
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- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: deberta-v3-xsmall-finetuned-DAGPap22
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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tags: autotrain
language: zh
widget:
- text: "I love AutoTrain 🤗"
datasets:
- AI-Prize-Challenges/autotrain-data-finetuned1
co2_eq_emissions: 0.03608660562919794
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1035435583
- CO2 Emissions (in grams): 0.03608660562919794
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from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/TextbookInformalFormalEnglish")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/TextbookInformalFormalEnglish")
```
```
How To Make Prompt:
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license: apache-2.0
tags:
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datasets:
- imdb
model-index:
- name: distilbert-base-uncased-finetuned-imdb
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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tags:
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results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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license: mit
tags:
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metrics:
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language:
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tag: fill-mask
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license: mit
tags:
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metrics:
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license: mit
tags:
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license: mit
tags:
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library_name: stable-baselines3
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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:
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language: fa
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language: es
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---
## RoBERTa Spanish base model (Uncased)
### Prerequisites
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license: apache-2.0
tags:
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metrics:
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model-index:
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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 the Trainer had access to. You
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library_name: stable-baselines3
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tags:
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tags:
- fastai
---
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit u... | [
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ArthurcJP/DialoGPT-small-YODA | [] | null | {
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"num_beams... | 0 | 2022-06-26T15:00:58Z | ---
library_name: stable-baselines3
tags:
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- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
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value: 287.72 +/- 15.68
name: mean_reward
task:
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name: re... | [
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AryanLala/autonlp-Scientific_Title_Generator-34558227 | [
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"text2text-generation",
"en",
"dataset:AryanLala/autonlp-data-Scientific_Title_Generator",
"transformers",
"autonlp",
"co2_eq_emissions",
"autotrain_compatible",
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"n... | 103 | null | ---
tags: autotrain
language: zh
widget:
- text: "I love AutoTrain 🤗"
datasets:
- p123/autotrain-data-my-sum
co2_eq_emissions: 326.52733725745725
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 1040935781
- CO2 Emissions (in grams): 326.52733725745725
## Validation Metrics
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AshLukass/AshLukass | [] | null | {
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license: apache-2.0
tags:
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- generated_from_trainer
metrics:
- accuracy
model-index:
- name: exper_batch_8_e8
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 rem... | [
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AshiNLP/Bert_model | [] | null | {
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tags:
- conversational
---
# Rick and Morty DialoGPT Model | [
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Augustvember/WokkaBot3 | [
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license: apache-2.0
tags:
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- generated_from_trainer
metrics:
- accuracy
model-index:
- name: exper_batch_16_e8
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 re... | [
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Augustvember/WokkaBot4 | [] | null | {
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license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
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name: Text Classification
type: text-classification
dataset:
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type: emotion
args: default... | [
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"num_beams... | 0 | 2022-06-26T21:24:54Z | ---
tags:
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metrics:
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model-index:
- name: bert2gpt2_med_v4
results: []
---
<img src="https://huggingface.co/Chemsseddine/bert2gpt2_med_ml_orange_summ-finetuned_med_sum_new-finetuned_med_sum_new/resolve/main/logobert2gpt2.png" alt="Map of positive probabilities per country." width="200"/... | [
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license: apache-2.0
tags:
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datasets:
- squad
model-index:
- name: bert-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->... | [
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license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
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name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
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Augustvember/test | [
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"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 12 | 2022-06-26T22:20:11Z | ---
license: apache-2.0
tags:
- image-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: exper_batch_32_e4
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 re... | [
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Augustvember/wokka | [
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"no_repeat_ngram_size... | 4 | null | ---
license: apache-2.0
tags:
- image-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: exper_batch_32_e8
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 re... | [
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Augustvember/wokka2 | [
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"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 12 | null | ---
license: mit
widget:
- text: "Jens Peter Hansen kommer fra Danmark"
---
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license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-timit-demo-google-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, then remove this comment. -->
... | [
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Aurora/asdawd | [] | null | {
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license: apache-2.0
tags:
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model-index:
- name: distilbert-base-uncased-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. --... | [
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Aurora/community.afpglobal | [] | null | {
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license: apache-2.0
---
There are two folders now:
- conformer: Conformer A3T trained with all VCTK training data.
- unseen_conformer: Conformer A3T trained by excluding some speakers during the training.
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library_name: stable-baselines3
tags:
- QbertNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
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value: 19340.00 +/- 862.71
name: mean_reward
task:
type: reinforcement-learning
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Awsaf/DialoGPT-medium-eren | [
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"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 12 | 2022-06-27T01:25:28Z | ---
tags: autotrain
language: zh
widget:
- text: "I love AutoTrain 🤗"
datasets:
- zyxzyx/autotrain-data-sum
co2_eq_emissions: 426.15271368095927
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 1042335811
- CO2 Emissions (in grams): 426.15271368095927
## Validation Metrics
- Loss: 1.77... | [
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Awsaf/large-eren | [
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] | conversational | {
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"no_repeat_ngram_size... | 10 | 2022-06-27T11:44:44Z | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: tiny_focal_alpah
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment.... | [
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Axcel/DialoGPT-small-rick | [
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"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 14 | 2022-06-27T01:39:58Z | ---
language: multilingual
thumbnail:
tags:
- audio-classification
license: "apache-2.0"
datasets:
- AudioSet
---
copy of https://tfhub.dev/google/yamnet/1, https://tfhub.dev/google/coral-model/yamnet/classification/coral/1 | [
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"num_beams... | 0 | 2022-06-27T01:44:58Z | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
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value: 565.50 +/- 141.39
name: mean_reward
task:
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... | [
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Ayah/GPT2-DBpedia | [
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] | text-generation | {
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---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
library_name: ml-agents
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age... | [
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Aybars/ModelOnTquad | [
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"no_repeat_n... | 8 | null | Toxicity LD50 prediction (regression model) based on <a href = "https://tdcommons.ai/single_pred_tasks/tox/"> Acute Toxicity LD50 </a> dataset.
For now, for the purpose of prediction, download the model. In the future, an easy colab notebook will be available. | [
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Ayham/albert_bert_summarization_cnn_dailymail | [
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"no_re... | 12 | null | ---
license: mit
---
Base model: [gpt2-large](https://huggingface.co/gpt2-large)
Fine-tuned to generate responses on a dataset of [Vaccine public health tweets](https://github.com/TheRensselaerIDEA/generative-response-modeling). For more information about the dataset, task and training, see [our paper](https://arxiv.... | [
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Ayham/albert_gpt2_summarization_cnndm | [
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"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
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"no_re... | 6 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- metrics:
- type: mean_reward
value: 7.46 +/- 2.70
name: mean_reward
task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Tax... | [
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Ayham/bert_distilgpt2_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... | 6 | null | ---
tags:
- generated_from_trainer
datasets:
- uob_singlish
model-index:
- name: Malaya-speech_fine-tune_realcase_27_Jun
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this commen... | [
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Ayham/bert_gpt2_summarization_cnndm_new | [
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"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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"no_re... | 8 | 2022-06-27T05:22:57Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-timit-demo-google-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, then remove this comment. -->
... | [
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Ayham/distilbert_distilgpt2_summarization_cnn_dailymail | [
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"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
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"autotrain_compatible"
] | text2text-generation | {
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"no_re... | 5 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: gopalkalpande/t5-small-finetuned-xsum
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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Ayham/distilbert_gpt2_summarization_xsum | [
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"dataset:xsum",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
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"no_re... | 8 | null | ---
license: apache-2.0
---
See https://github.com/k2-fsa/icefall/pull/380 | [
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Ayham/distilbert_roberta_summarization_cnn_dailymail | [
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"text2text-generation",
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"no_re... | 14 | 2022-06-27T06:33:04Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: token_final_tunned
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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Ayham/roberta_distilgpt2_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... | 4 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- big_patent
model-index:
- name: bigbird-base-finetuned-big_patent
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... | [
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Ayham/roberta_gpt2_summarization_xsum | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:xsum",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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],
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"no_re... | 6 | 2022-06-27T07:06:21Z | ---
license: mit
tags:
- generated_from_trainer
datasets:
- elsevier-oa-cc-by
model-index:
- name: roberta-base-finetuned-academic
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove t... | [
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Ayham/xlnet_distilgpt2_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... | 13 | null | ---
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-nsc-final_1-google-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, then remove this comment. -->
# wav2vec2-nsc-final_1-... | [
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Ayham/xlnet_gpt2_summarization_xsum | [
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"text2text-generation",
"dataset:xsum",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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"max_length": null,
"min_length": null,
"no_re... | 13 | null | ---
language:
- en
license: mit
tags:
- generated_from_trainer
model-index:
- name: reproduce-unsup-roberta-base-avg
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -... | [
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Ayran/DialoGPT-small-harry-potter-1-through-3 | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 12 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args: c... | [
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Berzemu/Coco | [] | null | {
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"num_beams... | 0 | null | ---
license: other
tags:
- generated_from_trainer
model-index:
- name: opt-125m-finetuned-wikitext2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# opt-125m-fi... | [
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Bharathdamu/wav2vec2-large-xls-r-300m-hindi3-colab | [] | null | {
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"num_beams... | 0 | 2022-06-28T03:36:59Z | ---
tags:
- conversational
---
# Koishi Komeiji DialoGPT Model | [
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0.02530... |
Bia18/Beatriz | [] | null | {
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},
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"num_beams... | 0 | 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: 563.00 +/- 159.85
name: mean_reward
task:
type: reinforcement-learning
... | [
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0... |
Biasface/DDDC | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"no_repeat_ngram_size... | 14 | 2022-06-28T04:42:09Z | ---
language:
- zh
library_name: nemo
datasets:
- aishell_2
thumbnail: null
tags:
- automatic-speech-recognition
- speech
- audio
- CTC
- Citrinet
- pytorch
- NeMo
- hf-asr-leaderboard
- Riva
license: cc-by-4.0
model-index:
- name: stt_zh_citrinet_1024_gamma_0_25
results:
- task:
name: Automatic Speech Recogn... | [
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0.027... |
BigSalmon/GPTT | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 9 | 2022-06-28T07:57:21Z | ---
license: afl-3.0
---
Put this model path in variable best_model_path in first cell of given colab notebook for testing semeval multiconer task. https://colab.research.google.com/drive/17WyqwdoRNnzImeik6wTRE5uuj9QQnkXA#scrollTo=nYtUtmyDFAqP | [
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0.025... |
BigSalmon/MrLincoln | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"no_repeat_ngram_size... | 7 | null | ---
pipeline_tag: fill-mask
tags:
- online social networks
- twitter
- spanish
language: es
license: apache-2.0
widget:
- text: "Las <mask> causan hipoxia."
example_title: "Mask filling"
---
Model BERTuit as presented in the [BERTuit: Understanding Spanish language in Twitter through a native transformer](https://ar... | [
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0.... |
BigSalmon/MrLincoln125MNeo | [
"pytorch",
"tensorboard",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
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"no_repeat_ngram... | 12 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: led-large-16384-finetuned-big_patent
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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BigSalmon/Points | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"min_length": null,
"no_repeat_ngram_size... | 13 | 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... | [
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BinksSachary/DialoGPT-small-shaxx | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"no_repeat_ngram_size... | 12 | null | ---
license: apache-2.0
---
# Spanish Bert2Bert fine-tuned on Quora question pairs dataset
Fine-tuning of a [question generator model](https://huggingface.co/mrm8488/bert2bert-spanish-question-generation) into a paraphraser model using a poor-man's translation of the Quora question pairs dataset. It basically rephras... | [
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Brokette/projetCS | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
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"no_repeat_ngram_s... | 4 | null | ---
license: mit
language:
- en
task_categories:
- fill-mask
task_ids:
- masked-language-modeling
pipeline_tag: fill-mask
widget:
- text: "M67 is one of the most studied [MASK] clusters."
example_title: "M67"
- text: "A solar twin is a star with [MASK] parameters and chemical composition very similar to our Sun."
... | [
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0.04566597193479538,
0.05714... |
Brykee/DialoGPT-medium-Morty | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"min_length": null,
"no_repeat_ngram_size... | 10 | null | ---
license: other
tags:
- generated_from_trainer
model-index:
- name: opt-125m-wikitext2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# opt-125m-wikitext2
T... | [
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... |
Buntan/xlm-roberta-base-finetuned-marc-en | [] | null | {
"architectures": null,
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},
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"num_beams... | 0 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- metrics:
- type: mean_reward
value: 7.54 +/- 2.71
name: mean_reward
task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Tax... | [
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... |
CalvinHuang/mt5-small-finetuned-amazon-en-es | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | summarization | {
"architectures": [
"MT5ForConditionalGeneration"
],
"model_type": "mt5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 16 | 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: 671.50 +/- 145.81
name: mean_reward
task:
type: reinforcement-learning
... | [
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0.020221645012497902,
0.0... |
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