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 |
|---|---|---|---|---|---|---|---|
Blaine-Mason/hackMIT-finetuned-sst2 | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
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},
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"no_rep... | 36 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- swag
metrics:
- accuracy
model-index:
- name: my_awesome_swag_model
results: []
duplicated_from: hypefi/my_awesome_swag_model
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should... | [
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BobBraico/distilbert-base-uncased-finetuned-imdb | [] | null | {
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"num_beams... | 0 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit... | [
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Bosio/full-sentence-distillroberta3-finetuned-wikitext2 | [] | null | {
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},
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"num_beams... | 0 | null | ---
tags:
- autotrain
- token-classification
language:
- unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- onevholy/autotrain-data-ner2
co2_eq_emissions:
emissions: 0.26356486260831363
---
# Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 50086120238
- CO2 Emissions (in grams): 0.263... | [
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0.044... |
BotterHax/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"no_repeat_ngram_size... | 8 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-12
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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BumBelDumBel/ZORK_AI_FANTASY | [] | null | {
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"num_beams... | 0 | null | To run this model, please clone: https://github.com/ggerganov/llama.cpp and install using Make (see instruction in Github)
Then, download the model and place it in the models folder and run:
Linux:
./main -m models/baize_lora_13b_q4.bin -n -1 -t 4 --ignore-eos --temp 0.4 --interactive-first --repeat_penalty 1.2 --in... | [
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0.0... |
CAMeL-Lab/bert-base-arabic-camelbert-ca-ner | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
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},
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"no_repeat... | 85 | 2023-04-17T05:09:28Z | ---
library_name: keras
---
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters ... | [
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... |
CAMeL-Lab/bert-base-arabic-camelbert-da-poetry | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:1905.05700",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
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},
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"no_rep... | 37 | 2023-04-17T05:24:46Z | ---
library_name: keras
---
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters ... | [
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0... |
CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"has_space"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
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},
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"no_rep... | 19,850 | null | ---
tags:
- generated_from_trainer
model-index:
- name: dgx1_distil_w2v2_base_mozilla_12_to_6_batch_16_epoch_20_continue
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this commen... | [
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0... |
CAMeL-Lab/bert-base-arabic-camelbert-da | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
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},
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"no_repeat_ngram_size... | 449 | 2023-04-17T05:34:40Z | ---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
- instruction fine-tuning
model-index:
- name: flan-t5-small-distil-v2
results: []
language:
- en
pipeline_tag: text2text-generation
widget:
- text: >-
how can I become more healthy?
example_title: example
---
<!-- This model card has been generate... | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus26 | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
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},
"summarization": {
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"min_length": null,
"no_rep... | 45 | null | ---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
- instruction fine-tuning
model-index:
- name: flan-t5-small-distil-v2
results: []
language:
- en
pipeline_tag: text2text-generation
widget:
- text: >-
how can I become more healthy?
example_title: example
---
<!-- This model card has been generate... | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-did-nadi | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
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"no_rep... | 63 | 2023-04-17T05:43:58Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: flan-t5-large-extraction-all-dm_4000-ep10-nonstop
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this c... | [
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0... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-poetry | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:1905.05700",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
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},
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"no_rep... | 31 | null | ---
tags:
- FrozenLake-v1-8x8-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-8x8-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-8x8-no_slippery
type: Frozen... | [
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0.028362082317471504,... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-egy | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
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],
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},
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"no_repeat... | 62 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: gpt2_dp_2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt2_dp_2
... | [
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0... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-msa | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
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],
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"task_specific_params": {
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},
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"no_repeat... | 1,862 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: taxi_test
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.71... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-half | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 16 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-egy | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
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],
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},
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"no_repeat... | 52 | null | ---
license: apache-2.0
datasets:
- OpenAssistant/oasst1
language:
- ja
metrics:
- accuracy
- bertscore
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-glf | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
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],
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},
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"no_repeat... | 21 | null | ---
language:
- en
tags:
- t5
- xxl
- rewriting
- paraphrase
- paraphrase-generation
- paraphrasing
- pytorch
- text-generation
- text2text-generation
license: "apache-2.0"
---
This is the HuggingFace model release of our paper "Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defen... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-msa | [
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"no_repeat... | 133 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: QRDQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
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CAUKiel/JavaBERT-uncased | [
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"bert",
"fill-mask",
"java",
"code",
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"no_repeat_ngram_size... | 7 | null | ---
license: mit
language:
- en
metrics:
- accuracy
- precision
- recall
- f1
pipeline_tag: text-classification
widget:
- text: "Battery temperature is below 15 degrees Celsius. Warm up the battery temperature to above 25 degree Celsius to ensure a safe flight."
example_title: "Negative Sentiment"
- text: "Aircraft i... | [
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CAUKiel/JavaBERT | [
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"arxiv:2110.10404",
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"transformers",
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"no_repeat_ngram_size... | 388 | null | ---
tags:
- autotrain
- token-classification
language:
- unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- onevholy/autotrain-data-bert-ner-cased
co2_eq_emissions:
emissions: 0.27179932029905673
---
# Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 50114120258
- CO2 Emissions (in gra... | [
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CLTL/gm-ner-xlmrbase | [
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... | 2 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: UchihaMadara/thesis-pretrained-5
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. -->
# UchihaMa... | [
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"... | 33 | null | ---
library_name: ml-agents
tags:
- Huggy
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (... | [
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"... | 32 | 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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CLTL/icf-levels-enr | [
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"... | 30 | null | ---
license: mit
language:
- nl
- en
pipeline_tag: translation
---
# Opus-MT-NL-EN-Healthcare
This model can be used to translate medical text from Dutch to English, as a baseline for Clinical NLP systems in Dutch.
## Model Details
### Model Description
This model based on MarianMT was trained using OpusNLP data as... | [
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"... | 31 | null | ---
datasets:
- arxiv_dataset
language:
- en
metrics:
- precision
library_name: spacy
pipeline_tag: text-classification
tags:
- journal
- sections
--- | [
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CM-CA/Cartman | [] | null | {
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license: apache-2.0
---
Introduction
This repo contains pre-trained models, checkpoints, training logs and decoding results of the following pull-request:
https://github.com/k2-fsa/icefall/pull/997 | [
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license: wtfpl
---
X X X warehouse X X X | [
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CZWin32768/xlm-align | [
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"no_repe... | 6 | null | Access to model hobizhope/my_summary_model is restricted and you are not in the authorized list. Visit https://huggingface.co/hobizhope/my_summary_model to ask for access. | [
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Calamarii/calamari | [] | null | {
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"num_beams... | 0 | 2023-04-17T07:11:06Z | ---
license: mit
tags:
- generated_from_trainer
datasets:
- cartesinus/iva_mt_wslot
metrics:
- bleu
model-index:
- name: iva_mt_wslot-m2m100_418M-en-es
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: iva_mt_wslot
type: iva_mt_wslot
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"no_repeat... | 16 | null | ---
license: mit
---
bert-base-uncased, trained on fake news dataset.
Input title, text, split with ////////////
Output: 1 - fake, 0 - real. | [
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"no_rep... | 35 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- cartesinus/iva_mt_wslot
metrics:
- bleu
model-index:
- name: iva_mt_wslot-m2m100_418M-en-de
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Cameron/BERT-eec-emotion | [
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tags:
- conversational
---
Mostly just for testing; On a less trained model.
#House MD DialoGPT Model | [
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license: other
---
# 聲明 Disclaimer
本資料夾中的模型不是我所製作，版權歸原作者所有（各模型版權詳見 http://www.civitai.com 所示）。我上傳至本資料夾僅爲方便在綫抽取資源，并非盈利。
The models in this folder are not made by me, and the copyright belongs to the original author (see http://www.civitai.com for details on the copyright of each model). I uploaded to this folder o... | [
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Camzure/MaamiBot | [] | null | {
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"num_beams... | 0 | null | Access to model AI-Officially/AI_Req is restricted and you are not in the authorized list. Visit https://huggingface.co/AI-Officially/AI_Req to ask for access. | [
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Canyonevo/DialoGPT-medium-KingHenry | [] | null | {
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"num_beams... | 0 | 2023-04-17T07:23:36Z | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
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0.019... |
CapitainData/wav2vec2-large-xlsr-turkish-demo-colab | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: distillgpt2_dp
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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Capreolus/birch-bert-large-car_mb | [
"pytorch",
"tf",
"jax",
"bert",
"next-sentence-prediction",
"transformers"
] | null | {
"architectures": [
"BertForNextSentencePrediction"
],
"model_type": "bert",
"task_specific_params": {
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"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 4 | null | ---
datasets:
- attack
library_name: diffusers
pipeline_tag: text-to-image
--- | [
-0.014772073365747929,
-0.023877836763858795,
0.021406231448054314,
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0... |
Capreolus/birch-bert-large-msmarco_mb | [
"pytorch",
"tf",
"jax",
"bert",
"next-sentence-prediction",
"transformers"
] | null | {
"architectures": [
"BertForNextSentencePrediction"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"min_length": null,
"no_rep... | 1 | null | To install the requirements for this demo, do pip install "optimum-intel[openvino, diffusers]".
```python
from optimum.intel.openvino import OVStableDiffusionPipeline
pipe = OVStableDiffusionPipeline.from_pretrained("OpenVINO/stable-diffusion-pokemons-1-5-quantized", compile=False)
pipe.reshape(batch_size=1, height=... | [
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Captain-1337/CrudeBERT | [
"pytorch",
"bert",
"text-classification",
"arxiv:1908.10063",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
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},
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"min_length": null,
"no_rep... | 28 | null | ---
language:
- ja
tags:
- 安倍晋三
- AbeShinzo
- FormerJapanesePrimeMinister
- ESPnet
- VITS
--- | [
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0.0284423... |
Captain272/lstm | [] | null | {
"architectures": null,
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},
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"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
language:
- en
tags:
- FantasyGPT
widget:
- "Legolas and Gimli advanced on the orcs, raising their weapons with a harrowing war cry."
- "Hermione smiled at Harry."
- "Ghost bared his teeth."
- "Geralt drew his sword"
- "Galadriel drew her sword"
- "Daenerys kissed Gandalf, as the witcher hacked off ... | [
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CarlosTron/Yo | [] | null | {
"architectures": null,
"model_type": null,
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},
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"num_beams... | 0 | null | ---
license: other
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: opt125_dp
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. -->
# opt125_d... | [
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Carolhuehuehuehue/Sla | [] | null | {
"architectures": null,
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},
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"num_beams... | 0 | null | ---
duplicated_from: HuggingFaceM4/tiny-random-LlamaForCausalLM
---
| [
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dccuchile/albert-base-spanish-finetuned-mldoc | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
"model_type": "albert",
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},
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"min_length": null,
"no... | 34 | null | ---
library_name: sample-factory
tags:
- deep-reinforcement-learning
- reinforcement-learning
- sample-factory
model-index:
- name: APPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: doom_health_gathering_supreme
type: doom_health_gathering_sup... | [
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... |
dccuchile/albert-base-spanish-finetuned-ner | [
"pytorch",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
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},
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"min_length": null,
"no_re... | 14 | 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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dccuchile/albert-large-spanish-finetuned-pawsx | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
"model_type": "albert",
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},
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"min_length": null,
"no... | 25 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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dccuchile/albert-tiny-spanish-finetuned-pos | [
"pytorch",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
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},
"summarization": {
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"length_penalty": null,
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"min_length": null,
"no_re... | 5 | 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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dccuchile/albert-tiny-spanish-finetuned-qa-mlqa | [
"pytorch",
"albert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"AlbertForQuestionAnswering"
],
"model_type": "albert",
"task_specific_params": {
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},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 7 | null | ---
title:
- YSDA_ML_PROJECT_FEDOR_GERASIMOV
emoji:
- 🌍
colorFrom:
- green
colorTo:
- blue
sdk:
- streamlit
app_file:
- app.py
pinned:
- false
license:
- openrail
---
| [
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dccuchile/albert-xlarge-spanish-finetuned-ner | [
"pytorch",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
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},
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"no_re... | 5 | null | Access to model shawt100/shawt100 is restricted and you are not in the authorized list. Visit https://huggingface.co/shawt100/shawt100 to ask for access. | [
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dccuchile/albert-xlarge-spanish-finetuned-pos | [
"pytorch",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
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},
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"max_length": null,
"min_length": null,
"no_re... | 3 | null | ---
tags:
- generated_from_keras_callback
model-index:
- name: layout_lm_fine_tune_funsd_dataset
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. -->
# layout_lm_fine_tune_... | [
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dccuchile/albert-xxlarge-spanish-finetuned-qa-mlqa | [
"pytorch",
"albert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"AlbertForQuestionAnswering"
],
"model_type": "albert",
"task_specific_params": {
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},
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"min_length": null,
"no_repe... | 7 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: aadhaar_front
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. -->
# aadh... | [
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0.0... |
dccuchile/albert-base-spanish | [
"pytorch",
"tf",
"albert",
"pretraining",
"es",
"dataset:large_spanish_corpus",
"transformers",
"spanish",
"OpenCENIA"
] | null | {
"architectures": [
"AlbertForPreTraining"
],
"model_type": "albert",
"task_specific_params": {
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},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngr... | 586 | null | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v2
type: PandaReach... | [
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dccuchile/albert-tiny-spanish | [
"pytorch",
"tf",
"albert",
"pretraining",
"es",
"dataset:large_spanish_corpus",
"transformers",
"spanish",
"OpenCENIA"
] | null | {
"architectures": [
"AlbertForPreTraining"
],
"model_type": "albert",
"task_specific_params": {
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},
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngr... | 393 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: generic_ner_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then... | [
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dccuchile/albert-xxlarge-spanish | [
"pytorch",
"tf",
"albert",
"pretraining",
"es",
"dataset:large_spanish_corpus",
"transformers",
"spanish",
"OpenCENIA"
] | null | {
"architectures": [
"AlbertForPreTraining"
],
"model_type": "albert",
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngr... | 42 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: flan-t5-large-extraction-all-dm_8000-ep10-nonstop
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this c... | [
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dccuchile/bert-base-spanish-wwm-cased-finetuned-ner | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
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},
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"no_repeat... | 81 | null | ---
language: en
license: apache-2.0
library_name: pytorch
tags:
- deep-reinforcement-learning
- reinforcement-learning
- DI-engine
- LunarLander-v2
benchmark_name: OpenAI/Gym/Box2d
task_name: LunarLander-v2
pipeline_tag: reinforcement-learning
model-index:
- name: TD3
results:
- task:
type: reinforcement-lea... | [
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dccuchile/bert-base-spanish-wwm-cased-finetuned-pawsx | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
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],
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"no_rep... | 25 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
config: PAN-X.de
split: train
... | [
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Chan/distilroberta-base-finetuned-wikitext2 | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-kl_1_07-hs_cn
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-kl_1_07-hs_cn
Thi... | [
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0... |
Chun/w-en2zh-mtm | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MBartForConditionalGeneration"
],
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},
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"min_length": null,
"no_re... | 7 | null | ---
tags:
- generated_from_keras_callback
model-index:
- name: layoutlm-funsd-sequence-tf
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. -->
# layoutlm-funsd-sequence-tf
... | [
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Chun/w-en2zh-otm | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MBartForConditionalGeneration"
],
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},
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"no_re... | 7 | null | ---
license: gpl-3.0
tags:
- text2text-generation
pipeline_tag: text2text-generation
language:
- zh
- en
---
Considering LLaMA's license constraints, the model is for research and learning only.
Please strictly respect LLaMA's usage policy. We are not allowed to publish weights for LLaMA, of course, even finetuned, b... | [
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0.0... |
Chun/w-zh2en-mto | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MBartForConditionalGeneration"
],
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"no_re... | 7 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: try-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
config: plain_text
split:... | [
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0.0... |
Cinnamon/electra-small-japanese-discriminator | [
"pytorch",
"electra",
"pretraining",
"ja",
"transformers",
"license:apache-2.0"
] | null | {
"architectures": [
"ElectraForPreTraining"
],
"model_type": "electra",
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},
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"min_length": null,
"no_repeat_n... | 419 | null | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | [
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Cinnamon/electra-small-japanese-generator | [
"pytorch",
"electra",
"fill-mask",
"ja",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"ElectraForMaskedLM"
],
"model_type": "electra",
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},
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"min_length": null,
"no_repeat_ngra... | 19 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### doggoart4 Dreambooth model trained by brunneis with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [f... | [
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0.0198... |
Ciruzzo/DialoGPT-medium-harrypotter | [] | null | {
"architectures": null,
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"num_beams... | 0 | null | Access to model CatVat/DARTT is restricted and you are not in the authorized list. Visit https://huggingface.co/CatVat/DARTT to ask for access. | [
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0.0448... |
Ciruzzo/DialoGPT-small-hattypotter | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: anercorpDataset_v2.0
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, t... | [
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0... |
CleveGreen/FieldClassifier | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
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},
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"no_rep... | 34 | 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
... | [
-0.03718556836247444,
-0.002450759056955576,
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0.025459427386522293,
0.04538913443684578,
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-0.02377251721918583,
0.0229068323969841,
0.00... |
CleveGreen/FieldClassifier_v2 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
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},
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"min_length": null,
"no_rep... | 46 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### mann-e_4-2-base Dreambooth model trained by Muhammadreza with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A111... | [
-0.0355006642639637,
-0.0007607038132846355,
-0.020382210612297058,
0.038201846182346344,
0.03264133259654045,
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0.003405634080991149,
0.006442588288336992,
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0.03205906227231026,
0.033041153103113174,
-0.001962196547538042,
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0.01... |
CleveGreen/FieldClassifier_v2_gpt | [
"pytorch",
"gpt2",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"GPT2ForSequenceClassification"
],
"model_type": "gpt2",
"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_rep... | 26 | 2023-04-17T10:52:59Z | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-kl_1_03-hs_cn
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-kl_1_03-hs_cn
Thi... | [
-0.02447589859366417,
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0.044476959854364395,
-0.006372673902660608,
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0.010565393604338169,
... |
CleveGreen/JobClassifier_v2 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 37 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: swin-tiny-patch4-window7-224-bottom_cleaned_data
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
... | [
-0.0005535376258194447,
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0.010137679986655712,... |
Cloudy/DialoGPT-CJ-large | [
"pytorch",
"conversational"
] | conversational | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
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},
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"no_repeat_ngram_size": null,
"num_beams... | 1 | 2023-04-17T10:56:28Z |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: a photo of sks dog
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA DreamBooth - sayakpaul/dreambooth
These are LoRA adaption weights for runwayml/stab... | [
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0.... |
ClydeWasTaken/DialoGPT-small-joshua | [
"conversational"
] | conversational | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Regression_bert_1500
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. -->
# Regression_be... | [
-0.0169790331274271,
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0.05394762009382248,
0.01479320414364338,
-0.03165588155388832,
0.026527998968958855,
0.04... |
CoShin/XLM-roberta-large_ko_en_nil_sts | [] | null | {
"architectures": null,
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},
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"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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0.055706221610307693,
0.02271896041929722,
-0.03240211680531502,
0.02009880729019642,
0.015... |
CoachCarter/distilbert-base-uncased-finetuned-squad | [] | null | {
"architectures": null,
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},
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"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v2
type: PandaReach... | [
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0.031227922067046165,
0.... |
CoachCarter/distilbert-base-uncased | [] | null | {
"architectures": 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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CodeDanCode/CartmenBot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 14 | null | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
type: Frozen... | [
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CodeNinja1126/bert-p-encoder | [
"pytorch"
] | null | {
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"num_beams... | 3 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-V3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: -92.27 +/- 26.6... | [
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CodeNinja1126/koelectra-model | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- anime
- diffusers
license: creativeml-openrail-m
duplicated_from: haor/Evt_V2
---
# Evt_V2
Based on animefull-latest, fine-tuned using a training set of 15000 images (7700 flipped). Most of the training set uses [pixiv_AI_crawler](https://githu... | [
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0.0... |
CodeNinja1126/test-model | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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"BertForSequenceClassification"
],
"model_type": "bert",
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"no_rep... | 24 | null | ---
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- anime
- diffusers
license: creativeml-openrail-m
duplicated_from: haor/Evt_V3
---
# Evt_V3
Based on Evt_V2 with 20 epochs fine-tuning using 35467 images
### Examples
![Image](https://0.00000.l... | [
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CodeNinja1126/xlm-roberta-large-kor-mrc | [
"pytorch",
"xlm-roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"XLMRobertaForQuestionAnswering"
],
"model_type": "xlm-roberta",
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... | 8 | null | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
duplicated_from: haor/Evt_V4-preview
---
# Evt_V4-preview
EVT series is an experimental project for finetune with large datasets on animation style model.
Evt_V4 uses a lar... | [
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CoderBoy432/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"no_repeat_ngram_size... | 11 | null | ---
library_name: ml-agents
tags:
- SnowballTarget
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech... | [
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0... |
CoderEFE/DialoGPT-marxbot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational",
"has_space"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 11 | null | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
duplicated_from: haor/Evt_M
---
# Evt_M
Evt_M is a model derived from Evt_V4 EP06.
It retains the characteristics of Evt_V4, and the batch generation of images with the same set of parame... | [
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0.05... |
CoffeeAddict93/gpt2-call-of-the-wild | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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},
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"min_length": null,
"no_repeat_ngram_size... | 6 | null | ---
license: apache-2.0
---
# Lighting ASR中文语音识别模型
## 环境依赖
```
- Python3.7+
- PyTorch 1.8.1+
- torchaudio
- soundfile
- librosa
```
## 安装[lighting-asr](https://github.com/gaochangfeng/lighting-asr.git)
### 下载源代码并添加到python路径
```
export PYTHONPATH=/path/to/lasrfolder/:$PYTHONPATH
```
### 源文件安装
```
git clone https:... | [
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0.04... |
CoffeeAddict93/gpt2-medium-modest-proposal | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"no_repeat_ngram_size... | 7 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type:... | [
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0.0164... |
Coldestadam/Breakout_Mentors_SpongeBob_Model | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"no_repeat_ngram_size... | 10 | null | ---
license: mit
---
These are the models, configs, and logs for the migration of MBRL-lib from gym to Gymnasium.
The files in the `diff` folder correspond to env models trained after the migration.
| [
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ComCom/gpt2-large | [
"pytorch",
"gpt2",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"GPT2Model"
],
"model_type": "gpt2",
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},
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"no_repeat_ngram_size": nul... | 1 | null |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- controlnet
- jax-diffusers-event
inference: true
---
# controlnet- ioclab/control_v1u_sd15_illumination
These are controlnet weights trained on runwaym... | [
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ComCom-Dev/gpt2-bible-test | [] | null | {
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"num_beams... | 0 | null | ---
license: other
---
初めてアップロードするので、間違ってるかもしれません
civitaiをのぞいてみたら、消えていたのでバックアップです。
Saimin Seishidou(催眠性指導) Style
I created Style Lora with the painting style of Saimin Seishidou, an animation created by the adult animation production company, ばにぃうぉ～か～.
The Anything 4.5 model was used for learning.
The recommend... | [
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Connor-tech/bert_cn_finetuning | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
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},
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"no_rep... | 27 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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0.... |
Contrastive-Tension/BERT-Base-CT-STSb | [
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"model_type": "bert",
"task_specific_params": {
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},
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"no_repeat_ngram_size": nul... | 5 | null | ---
tags:
- LunarLander-v2
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metr... | [
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-0.0016662514535710216,
0.02... |
Contrastive-Tension/BERT-Base-CT | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
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},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 16 | null | ---
license: mit
widget:
- text: Tadbirkorlik – foyda olish <mask> faoliyat.
example_title: Example 1
---
| [
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0.0320... |
Contrastive-Tension/RoBerta-Large-CT-STSb | [
"pytorch",
"tf",
"jax",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"RobertaModel"
],
"model_type": "roberta",
"task_specific_params": {
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},
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"min_length": null,
"no_repeat_ngram_size... | 5 | null | ---
license: apache-2.0
language:
- en
library_name: transformers
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/mai... | [
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0.021266749128699303,
... |
Cool/Demo | [] | null | {
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"num_beams... | 0 | null | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | [
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... |
CopymySkill/DialoGPT-medium-atakan | [
"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... | 7 | 2023-04-17T12:04:36Z | ---
library_name: keras
---
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters ... | [
-0.02693440206348896,
-0.027655990794301033,
-0.016232503578066826,
0.015327099710702896,
0.020134590566158295,
0.001456205965951085,
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0.04639555141329765,
0.01931697130203247,
-0.007575725205242634,
0.021296285092830658,
0... |
Corvus/DialoGPT-medium-CaptainPrice-Extended | [
"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... | 7 | null | ---
tags:
- spacy
- text-classification
language:
- da
model-index:
- name: da_spacy_sentiment
results: []
---
| Feature | Description |
| --- | --- |
| **Name** | `da_spacy_sentiment` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.5.1,<3.6.0` |
| **Default Pipeline** | `tok2vec`, `textcat` |
| **Components** | `tok2... | [
0.002018479397520423,
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-0.020849402993917465,
0.03960208222270012,
0.06385068595409393,
0.01765703782439232,
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-0.04675966501235962,
0.04264393076300621,
0.026630206033587456,
-0.011747357435524464,
0.012896714732050896,
0.0... |
CouchCat/ma_mlc_v7_distil | [
"pytorch",
"distilbert",
"text-classification",
"en",
"transformers",
"multi-label",
"license:mit"
] | text-classification | {
"architectures": [
"DistilBertForSequenceClassification"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 29 | 2023-04-17T12:07:10Z | ---
license: mit
tags:
- anime
- audio
- tts
- voice conversion
---
Origin (Generated From TTS):
<audio controls src="https://s3.amazonaws.com/moonup/production/uploads/62d3a59dc72c791b23918293/neVwV9PEc0gGylrEup2Kn.wav"></audio>
Converted (Using SoVits Chtholly-VC)
<audio controls src="https://s3.amazonaws.com/moonup... | [
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-0.012651544064283371,
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0.002058160025626421,
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0.01262525375932455,
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0.07784707099199295,
0.037261806428432465,
-0.00891252513974905,
0.060124803334474564,
0.042... |
CouchCat/ma_ner_v6_distil | [
"pytorch",
"distilbert",
"token-classification",
"en",
"transformers",
"ner",
"license:mit",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"DistilBertForTokenClassification"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 6 | 2023-04-17T12:09:20Z | ---
tags:
- text-classification
language:
- it
widget:
- text: Mi chiamo Taras, sono felice di conoscerti!
datasets:
- Taraassss/autotrain-data-taras_es_sentiment_analysis
co2_eq_emissions:
emissions: 0.24907555356641484
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 5017... | [
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-0.01229470781981945,
0.008774984627962112,
0.015746526420116425,
0.06994564086198807,
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0.059404872357845306,
0.030287379398941994,
-0.009614956565201283,
0.018825987353920937,
0... |
CouchCat/ma_sa_v7_distil | [
"pytorch",
"distilbert",
"text-classification",
"en",
"transformers",
"sentiment-analysis",
"license:mit"
] | text-classification | {
"architectures": [
"DistilBertForSequenceClassification"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 38 | 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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-0.03444528952240944,
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0.04037601500749588,
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0.03518024832010269,
-0.005564119201153517,
-0.0025822275783866644,
-0.0005041864351369441,... |
Coyotl/DialoGPT-test3-arthurmorgan | [
"conversational"
] | conversational | {
"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 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gbert-large-finetuned-cust
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. -->
# gbert-large-fin... | [
-0.017946433275938034,
0.017603624612092972,
-0.011335655115544796,
0.02087034471333027,
0.043327897787094116,
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-0.03291529044508934,
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0.04032184183597565,
0.013654673472046852,
-0.012580526061356068,
0.029188603162765503,
0.0... |
CracklesCreeper/Piglin-Talks-Harry-Potter | [
"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... | 10 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: passport_demo
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. -->
# pass... | [
-0.03410204499959946,
-0.02246675081551075,
-0.003928002901375294,
0.05253666266798973,
0.01902272179722786,
0.013090590015053749,
0.027899306267499924,
0.0011028038570657372,
-0.027278650552034378,
0.047276947647333145,
0.031467095017433167,
-0.01799771934747696,
0.017412258312106133,
0.0... |
Craig/mGqFiPhu | [
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | feature-extraction | {
"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 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- minds14
metrics:
- accuracy
model-index:
- name: my_awesome_mind_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then r... | [
-0.047520775347948074,
-0.010733836330473423,
-0.019076747819781303,
0.029775124043226242,
0.01618109829723835,
0.02783203311264515,
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-0.0053750937804579735,
0.05058031529188156,
0.03890348598361015,
0.00036856764927506447,
-0.012222673743963242,
... |
CrayonShinchan/fine_tune_try_1 | [] | 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 | ---
license: mit
library_name: diffusers
---
# Mann-E 4.2 Merged
## Technical Information about the model
* Base Model : [runwayml/stable-diffusion-v1-5](https://huggingface.co/runwayml/stable-diffusion-v1-5)
* Merge : [mann-e/mann-e_4_rev-1-3](https://huggingface.co/mann-e/mann-e_4_rev-1-3)
* Merge amount : %70 fin... | [
-0.018537331372499466,
-0.01318614836782217,
-0.003429126227274537,
0.044327784329652786,
0.026233509182929993,
0.027891114354133606,
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0.0034523475915193558,
0.011473335325717926,
0.050604283809661865,
0.006372716277837753,
-0.007998982444405556,
0.00917801447212696,
... |
Crisblair/Wkwk | [] | 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 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Humberto/MedicalArticlesClassificationModelMultiLabel
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... | [
-0.014779339544475079,
-0.019140643998980522,
-0.012830404564738274,
0.029598215594887733,
0.049179334193468094,
0.016085539013147354,
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-0.008805944584310055,
0.050860967487096786,
0.015104271471500397,
-0.024447176605463028,
0.014532618224620819,... |
Crispy/dialopt-small-kratos | [] | 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 | ---
tags:
- LunarLander-v2
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metr... | [
-0.005971916485577822,
0.00883343257009983,
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0.057764701545238495,
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0.0693039819598198,
0.023584436625242233,
-0.0297489445656538,
0.0025175404734909534,
0.... |
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