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 |
|---|---|---|---|---|---|---|---|
Davlan/bert-base-multilingual-cased-finetuned-igbo | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 15 | 2023-03-05T05:01:16Z |
---
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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Davlan/bert-base-multilingual-cased-finetuned-wolof | [
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"bert",
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"no_repeat_ngram_size... | 4 | 2023-03-05T05:09:13Z | ---
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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Davlan/bert-base-multilingual-cased-finetuned-yoruba | [
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"jax",
"bert",
"fill-mask",
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"no_repeat_ngram_size... | 21 | null | ---
language:
- en
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: hBERTv2_data_aug_sst2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE SST2
type: glue
args: sst2
metrics:
- name: Accuracy
... | [
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Davlan/bert-base-multilingual-cased-ner-hrl | [
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"bert",
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"transformers",
"autotrain_compatible",
"has_space"
] | token-classification | {
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"no_repeat... | 269,898 | 2023-03-05T05:20:53Z | ---
license: creativeml-openrail-m
---
https://civitai.com/models/13716/idolmster-hayamikanade-lora | [
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Davlan/byt5-base-eng-yor-mt | [
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"no_repeat_n... | 11 | null | ---
license: creativeml-openrail-m
---
https://civitai.com/models/14200/idolmster-higuchimadokayen-lora | [
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Davlan/mt5_base_eng_yor_mt | [
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] | text2text-generation | {
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"no_repeat... | 2 | 2023-03-05T05:51:37Z | ---
tags:
- automatic-speech-recognition
- dna_r9.4.1
- generated_from_trainer
model-index:
- name: bonito-wav2vec2-tiny-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 c... | [
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Davlan/mt5_base_yor_eng_mt | [
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"arxiv:2103.08647",
"transformers",
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] | text2text-generation | {
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"no_repeat... | 8 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like cluste... | [
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Davlan/xlm-roberta-base-finetuned-chichewa | [
"pytorch",
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"fill-mask",
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"no_repe... | 5 | 2023-03-05T06:03:14Z | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: me... | [
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Davlan/xlm-roberta-base-finetuned-english | [
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"transformers",
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"no_repe... | 5 | 2023-03-05T06:03:17Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split... | [
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Davlan/xlm-roberta-base-finetuned-hausa | [
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"no_repe... | 234 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
library_name: ml-agents
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using... | [
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Davlan/xlm-roberta-base-finetuned-igbo | [
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"transformers",
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] | fill-mask | {
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"no_repe... | 68 | 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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Davlan/xlm-roberta-base-finetuned-lingala | [
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"no_repe... | 9 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Pixelcopter-PLE-v0-Reinforce
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE... | [
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Davlan/xlm-roberta-base-finetuned-luganda | [
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"no_repe... | 11 | 2023-03-05T06:21:08Z | ---
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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Davlan/xlm-roberta-large-ner-hrl | [
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... | 1,322 | null |
---
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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Dean/summarsiation | [] | null | {
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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:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
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Declan/Breitbart_modelv7 | [] | null | {
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"num_beams... | 0 | 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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Declan/CNN_model_v4 | [
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"no_repeat_ngram_size... | 3 | null |
---
license: cc-by-4.0
metrics:
- bleu4
- meteor
- rouge-l
- bertscore
- moverscore
language: ru
datasets:
- lmqg/qg_ruquad
pipeline_tag: text2text-generation
tags:
- question generation
widget:
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Declan/CNN_model_v6 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 3 | 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: validatio... | [
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Declan/FoxNews_model_v4 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 7 | 2023-03-05T08:57:00Z | ---
tags:
- autotrain
- text-classification
language:
- unk
widget:
- text: "Enter text"
datasets:
- systash/autotrain-data-fake_news_fine_tuned_v4
co2_eq_emissions:
emissions: 0.007112583756560004
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 38998102353
- CO2 Emissions (in ... | [
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Declan/HuffPost_model_v6 | [
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"no_repeat_ngram_size... | 9 | 2023-03-05T09:23:12Z | ---
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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Declan/NPR_model_v2 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 7 | 2023-03-05T09:28:13Z | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-taxi-v3-rl
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2... | [
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Declan/NPR_model_v3 | [
"pytorch",
"bert",
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"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 9 | 2023-03-05T09:28:40Z | ---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: greek-nllb-4ep-384
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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Declan/NewYorkTimes_model_v3 | [] | null | {
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"num_beams... | 0 | 2023-03-05T09:46:55Z | ---
tags:
- text-to-image
- stable-diffusion
---
### Hackenbacker/g Dreambooth model trained by Hackenbacker 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 [fast-Colab-A1111](https:... | [
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DeepESP/gpt2-spanish | [
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"es",
"dataset:ebooks",
"transformers",
"GPT-2",
"Spanish",
"ebooks",
"nlg",
"license:mit",
"has_space"
] | text-generation | {
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"no_repeat_ngram_size... | 1,463 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: my_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_model
This model is a ... | [
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0.0... |
DeepPavlov/xlm-roberta-large-en-ru-mnli | [
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"en",
"ru",
"dataset:glue",
"dataset:mnli",
"transformers",
"xlm-roberta-large",
"xlm-roberta-large-en-ru",
"xlm-roberta-large-en-ru-mnli",
"has_space"
] | text-classification | {
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],
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... | 227 | null |
---
license: creativeml-openrail-m
base_model: wavymulder/portraitplus
instance_prompt: a photo of ahn-hye-nah
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA DreamBooth - jakeythelad/lora_output_hyenah_5
These are LoRA adaption weights for wavy... | [
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0... |
DeltaHub/adapter_t5-3b_mrpc | [
"pytorch",
"transformers"
] | null | {
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"num_beams... | 3 | null | ---
license: other
---
LLaMA-13B converted to work with Transformers/HuggingFace. This is under a special license, please see the LICENSE file for details.
--
license: other
---
# LLaMA Model Card
## Model details
**Organization developing the model**
The FAIR team of Meta AI.
**Model date**
LLaMA was trained betwe... | [
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DeltaHub/lora_t5-base_mrpc | [
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---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
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Denilson/gbert-base-germaner | [] | null | {
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"num_beams... | 0 | 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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0... |
Deniskin/essays_small_2000 | [] | null | {
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"num_beams... | 0 | null | ---
license: other
---
LLaMA-7B converted to work with Transformers/HuggingFace. This variant is also quantized to int8. This is under a special license, please see the LICENSE file for details.
| [
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Deniskin/gpt3_medium | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
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"no_repeat_ngram_size... | 52 | 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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0.00... |
DeskDown/MarianMixFT_en-id | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
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],
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"no_repeat_ngram_size... | 3 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finetuned_roberta-base-uncased
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment... | [
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0.03934... |
DeskDown/MarianMixFT_en-ms | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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],
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"no_repeat_ngram_size... | 5 | null | ---
datasets:
- BeardedJohn/FakeNews
---
NLP fake news classifier based on pre-trained BERT model | [
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DeskDown/MarianMixFT_en-my | [
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] | text2text-generation | {
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"no_repeat_ngram_size... | 7 | null | ---
language:
- ar
metrics:
- cer
pipeline_tag: automatic-speech-recognition
--- | [
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0.0... |
Devmapall/paraphrase-quora | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
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"early_stopping": true,
"length_penalty": 2,
"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 3 | null | ---
language:
- en
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: hBERTv2_data_aug_stsb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE STSB
type: glue
args: stsb
metrics:
- name: Spearmanr
... | [
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0... |
DevsIA/Devs_IA | [] | null | {
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"num_beams... | 0 | null | ---
license: creativeml-openrail-m
language: en
tags :
- stable-diffusion
- text-to-image
- stable-diffusion-diffusers
- diffusers
---
# Wellcome To shiowo-flora-mix
This is my first ever model released publicly
# Image and model comming soon (+- 3 days)
---
---
# safetensors comming soon (1 week +-)
### Recepie:... | [
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Dibyaranjan/nl_image_search | [] | null | {
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---
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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Dilmk2/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 13 | null | ---
license: mit
tags:
- conversational
---
# Tyrion Lannister Model | [
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DimaOrekhov/cubert-method-name | [
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] | text2text-generation | {
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"no_re... | 10 | 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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DimaOrekhov/transformer-method-name | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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"EncoderDecoderModel"
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"no_re... | 8 | 2023-03-05T13:17:54Z | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
---
<b>Please read this!</b><br>
My model has always been free and always will be free. There are no restrictions on the use of the model. The rights to this model still belong to me.
<hr/>
<b>Important note: "RAW photo" in the prompt may deg... | [
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DivyanshuSheth/T5-Seq2Seq-Final | [] | null | {
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language: ja
widget:
- text: Ｘ が 部屋 で ゲーム するxEffect
---
# COMET-GPT2 ja v2
Finetuned GPT-2 on the large version of [ATOMIC ja](https://github.com/nlp-waseda/comet-atomic-ja) using a causal language modeling (CLM) objective.
The original version and the large version of ATOMIC ja were introduced in [this paper](ht... | [
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Dongjae/mrc2reader | [
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"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
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],
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... | 3 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: unit4SundayMarch5
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: mea... | [
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DoyyingFace/bert-COVID-HATE-finetuned-test | [
"pytorch",
"bert",
"text-classification",
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] | text-classification | {
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"no_rep... | 29 | 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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DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-8 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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"no_rep... | 30 | 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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DoyyingFace/bert-asian-hate-tweets-asian-unclean-slanted | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
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"no_rep... | 29 | 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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0... |
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-100 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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"no_rep... | 28 | 2023-03-05T14:39:39Z | ---
language:
- en
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: hBERTv2_data_aug_wnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE WNLI
type: glue
args: wnli
metrics:
- name: Accuracy
... | [
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... |
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-25 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
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"no_rep... | 30 | 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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DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-50 | [
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"bert",
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"transformers"
] | text-classification | {
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"no_rep... | 28 | null | Access to model Neno-sols/sols-golden-dress is restricted and you are not in the authorized list. Visit https://huggingface.co/Neno-sols/sols-golden-dress to ask for access. | [
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DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-75 | [
"pytorch",
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"transformers"
] | text-classification | {
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"no_rep... | 37 | 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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DoyyingFace/bert-asian-hate-tweets-asonam-clean | [
"pytorch",
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"transformers"
] | text-classification | {
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"no_rep... | 27 | 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: 7.54 +/- 2.73
... | [
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DoyyingFace/bert-asian-hate-tweets-concat-clean-with-unclean-valid | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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"no_rep... | 25 | 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... |
DoyyingFace/bert-asian-hate-tweets-concat-clean | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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"BertForSequenceClassification"
],
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"no_rep... | 25 | 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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albert-base-v1 | [
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"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"AlbertForMaskedLM"
],
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"no_repeat_ngram_... | 38,156 | 2023-03-05T14:57:54Z | ---
license: bigscience-openrail-m
language:
- en
---
GPT-J-Pyg_PPO-6B [GPT-J Pygmalion + GPT-J PPO_HH]
GPT-J-Pyg_PPO-6B is an experimental model containing a parameter-wise 40/60 blend (weighted average PPO_HH:Pygmalion) of the weights of ppo_hh_gpt-j and Pygmalion-6b.
-Intended Merge Value-
As with fine-tuning, me... | [
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albert-base-v2 | [
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"en",
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"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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],
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"no_repeat_ngram_... | 4,785,283 | 2023-03-05T14:57:59Z |
---
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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albert-xlarge-v1 | [
"pytorch",
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"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
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"has_space"
] | fill-mask | {
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"no_repeat_ngram_... | 341 | 2023-03-05T15:01:55Z |
---
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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0.02... |
albert-xlarge-v2 | [
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"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"no_repeat_ngram_... | 2,973 | 2023-03-05T15:01:58Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-40-1
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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"no_repeat_ngram_... | 7,091 | 2023-03-05T15:06:29Z | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---
# setfit-distilbert-user-intent
This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot le... | [
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albert-xxlarge-v2 | [
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"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"exbert",
"license:apache-2.0",
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"no_repeat_ngram_... | 42,640 | 2023-03-05T15:07:22Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Harsha Dreambooth model trained by haytin69 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 [fast... | [
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bert-base-chinese | [
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"bert",
"fill-mask",
"zh",
"arxiv:1810.04805",
"transformers",
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"no_repeat_ngram_size... | 3,377,486 | 2023-03-05T15:14:50Z | ---
tags:
- music-generation
- transformer
- pytorch
- audio
- music
- piano
license: mit
---
# Compose & Embellish: Piano Performance Generation Pipeline
Trained model weights and training datasets for the paper:
* Shih-Lun Wu and Yi-Hsuan Yang
"[Compose & Embellish: Well-Structured Piano Performance Generatio... | [
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"exbert",
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"no_repeat_ngram_size... | 175,983 | 2023-03-05T15:15:30Z |
---
license: cc-by-4.0
metrics:
- bleu4
- meteor
- rouge-l
- bertscore
- moverscore
language: fr
datasets:
- lmqg/qg_frquad
pipeline_tag: text2text-generation
tags:
- question generation
widget:
- text: "Créateur » (Maker), lui aussi au singulier, « <hl> le Suprême Berger <hl> » (The Great Shepherd) ; de l'autre, des ... | [
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bert-base-german-dbmdz-cased | [
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"jax",
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"fill-mask",
"de",
"transformers",
"license:mit",
"autotrain_compatible",
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] | fill-mask | {
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"no_repeat_ngram_size... | 1,814 | 2023-03-05T15:17:16Z | ---
license: creativeml-openrail-m
---
# 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/main/src/huggingface_hub/templates... | [
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bert-base-german-dbmdz-uncased | [
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"no_repeat_ngram_size... | 68,305 | 2023-03-05T15:18:02Z | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- ravkuk_summerize_dataset
metrics:
- rouge
model-index:
- name: le-fine-tune-mt5-base
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: ravkuk_summerize_datas... | [
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bert-base-multilingual-cased | [
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... | fill-mask | {
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"no_repeat_ngram_size... | 4,749,504 | 2023-03-05T15:20:37Z | ---
datasets:
- breadlicker45/musenet-encoders-12k
--- | [
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0.... |
bert-base-multilingual-uncased | [
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... | fill-mask | {
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"no_repeat_ngram_size... | 328,585 | 2023-03-05T15:21:50Z | ---
license: apache-2.0
language:
- en
metrics:
- f1
---
# Federated Learning Based Multilingual Emoji Prediction
This repository contains code for training and evaluating transformer-based models for Uni/multilingual emoji prediction in clean and attack scenarios using Federated Learning. This work is described in t... | [
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"no_repeat_ngram_size... | 59,663,489 | 2023-03-05T15:22:37Z |
---
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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"no_repeat_ngram_size... | 388,769 | 2023-03-05T15:27:10Z | ---
language:
- en
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: hBERTv2_data_aug_mnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE MNLI
type: glue
args: mnli
metrics:
- name: Accuracy
... | [
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bert-large-uncased-whole-word-masking-finetuned-squad | [
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"question-answering",
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"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
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] | question-answering | {
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"no_repeat_n... | 480,510 | 2023-03-05T15:27:19Z | ---
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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bert-large-uncased | [
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"bert",
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"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
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] | fill-mask | {
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"no_repeat_ngram_size... | 1,058,496 | 2023-03-05T15:29:35Z | ---
tags:
- FrozenLake-v1-8x8
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-8x8-Slippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-8x8
type: FrozenLake-v1-8x8
metrics:
... | [
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... |
distilbert-base-german-cased | [
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"distilbert",
"fill-mask",
"de",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"no_repea... | 43,667 | 2023-03-05T15:39:05Z | ---
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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distilbert-base-multilingual-cased | [
"pytorch",
"tf",
"onnx",
"safetensors",
"distilbert",
"fill-mask",
"multilingual",
"af",
"sq",
"ar",
"an",
"hy",
"ast",
"az",
"ba",
"eu",
"bar",
"be",
"bn",
"inc",
"bs",
"br",
"bg",
"my",
"ca",
"ceb",
"ce",
"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en",
... | fill-mask | {
"architectures": [
"DistilBertForMaskedLM"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
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"max_length": null,
"min_length": null,
"no_repea... | 8,339,633 | 2023-03-05T15:42:44Z | ---
license: apache-2.0
datasets:
- wikipedia
language:
- it
widget:
- text: "milano è una [MASK] dell'italia"
example_title: "Example 1"
- text: "il sole è una [MASK] della via lattea"
example_title: "Example 2"
- text: "l'italia è una [MASK] dell'unione europea"
example_title: "Example 3"
---
------------------... | [
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distilbert-base-uncased | [
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"distilbert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1910.01108",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"DistilBertForMaskedLM"
],
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"no_repea... | 10,887,471 | 2023-03-05T15:45:14Z | ---
license: apache-2.0
language:
- en
metrics:
- f1
---
# Federated Learning Based Multilingual Emoji Prediction
This repository contains code for training and evaluating transformer-based models for Uni/multilingual emoji prediction in clean and attack scenarios using Federated Learning. This work is described in t... | [
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gpt2-large | [
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"jax",
"rust",
"safetensors",
"gpt2",
"text-generation",
"en",
"arxiv:1910.09700",
"transformers",
"license:mit",
"has_space"
] | text-generation | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 1,454,819 | 2023-03-05T15:47:14Z | ---
license: apache-2.0
language:
- en
metrics:
- f1
---
# Federated Learning Based Multilingual Emoji Prediction
This repository contains code for training and evaluating transformer-based models for Uni/multilingual emoji prediction in clean and attack scenarios using Federated Learning. This work is described in ... | [
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gpt2-medium | [
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"gpt2",
"text-generation",
"en",
"arxiv:1910.09700",
"transformers",
"license:mit",
"has_space"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"no_repeat_ngram_size... | 759,601 | 2023-03-05T15:57:05Z | ---
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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... |
0307061430/xuangou | [] | null | {
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"num_beams... | 0 | 2023-03-05T16:48:38Z |
---
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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0... |
AI-Growth-Lab/PatentSBERTa | [
"pytorch",
"mpnet",
"arxiv:2103.11933",
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers",
"has_space"
] | sentence-similarity | {
"architectures": [
"MPNetModel"
],
"model_type": "mpnet",
"task_specific_params": {
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},
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"no_repeat_ngram_size": n... | 659 | 2023-03-05T18:51:35Z | ---
language:
- en
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- tobiolatunji/afrispeech-200
metrics:
- wer
model-index:
- name: Whisper Small En - Moh
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Af... | [
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0.... |
AI-Lab-Makerere/en_lg | [
"pytorch",
"marian",
"text2text-generation",
"unk",
"dataset:Eric Peter/autonlp-data-EN-LUG",
"transformers",
"autonlp",
"co2_eq_emissions",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MarianMTModel"
],
"model_type": "marian",
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},
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"min_length": null,
"no_repeat_ngram_size... | 6 | 2023-03-05T18:52:02Z | ---
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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... |
AK/ak_nlp | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
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"no_repeat_ngra... | 6 | 2023-03-05T19:15:21Z | # Finetuned TorToiSe Models
In the `./finetunes/` folder contains a collection of my finetuned models. Each model folder contains:
* the `pickle`'d finetuned model for tortoise-tts
* the LJSpeech-formatted dataset used to train on it, also containing:
- the generated YAML for training stored in `train.yaml`
- the op... | [
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0.0... |
ASCCCCCCCC/bert-base-chinese-finetuned-amazon_zh | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
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"no_rep... | 39 | 2023-03-05T19:54:01Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
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... |
Abirate/bert_fine_tuned_cola | [
"tf",
"bert",
"text-classification",
"arxiv:1810.04805",
"transformers",
"has_space"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
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},
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"no_rep... | 26 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: CA_2_INITIAL_1
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. -->
# CA_2_INITIAL_1
This... | [
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AdharshJolly/HarryPotterBot-Model | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 10 | 2023-03-06T03:05:39Z | ---
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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0.0... |
Ahmed59/Demo-Team-5-SIAD | [
"tf",
"roberta",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"RobertaForSequenceClassification"
],
"model_type": "roberta",
"task_specific_params": {
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},
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"... | 14 | 2023-03-12T04:01:12Z | ---
license: mit
tags:
- generated_from_trainer
datasets:
- stereoset
metrics:
- accuracy
model-index:
- name: gpt2_stereoset_classifieronly
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: stereoset
type: stereoset
config: intersentence
spl... | [
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... |
Akash7897/my-newtokenizer | [] | null | {
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"num_beams... | 0 | 2023-03-06T04:49:13Z | ---
tags:
- generated_from_trainer
model-index:
- name: git-tiny
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. -->
# git-tiny
This model was trained from scratch ... | [
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Akash7897/test-clm | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: CA_SID_F05_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. -->
# CA_SID_F05_2
This mod... | [
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Akashamba/distilbert-base-uncased-finetuned-ner | [] | null | {
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"num_beams... | 0 | 2023-03-06T04:53:40Z | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- pubmed-summarization
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-arxiv-summarization
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: pubmed-s... | [
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0.002973743714392185... |
AkshayDev/BERT_Fine_Tuning | [] | null | {
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"num_beams... | 0 | null | # Vocabulary Trimmed [xlm-roberta-large](https://huggingface.co/xlm-roberta-large): `vocabtrimmer/xlm-roberta-large-trimmed-de-75000`
This model is a trimmed version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) by [`vocabtrimmer`](https://github.com/asahi417/lm-vocab-trimmer), a tool for trimming v... | [
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0... |
Aleksandar/distilbert-srb-ner-setimes | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"generated_from_trainer",
"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,
... | 3 | 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
... | [
-0.03750386834144592,
-0.0025505407247692347,
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0.02544105052947998,
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0.02304108627140522,
... |
Aleksandar/distilbert-srb-ner | [
"pytorch",
"distilbert",
"token-classification",
"sr",
"dataset:wikiann",
"transformers",
"generated_from_trainer",
"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,
... | 9 | 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
... | [
-0.03717811033129692,
-0.002639967482537031,
-0.004729753825813532,
0.025610260665416718,
0.045668479055166245,
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0.06655707955360413,
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0.022889496758580208,
0... |
Aleksandar1932/gpt2-soul | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 10 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: SID_CA_M04
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. -->
# SID_CA_M04
This model i... | [
-0.0403725802898407,
-0.017702769488096237,
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0.042904045432806015,
0.02924535796046257,
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0.06459841132164001,
0.02863188646733761,
-0.018411466851830482,
0.024279838427901268,
0.03... |
Alireza1044/michael_bert_lm | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 10 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: finetuning-sentiment-model-samples
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. -->
# ... | [
-0.028649194166064262,
-0.007842018269002438,
-0.026359114795923233,
0.035245995968580246,
0.0384659543633461,
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0.06512254476547241,
0.02672399766743183,
-0.022117428481578827,
0.036275092512369156,
0.0... |
AllwynJ/HarryBoy | [
"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... | 12 | 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
... | [
-0.03978850319981575,
-0.016961494460701942,
-0.01625979319214821,
0.0363444946706295,
0.05038658156991005,
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-0.013396448455750942,
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0.05462398752570152,
0.02356313169002533,
-0.03177586570382118,
0.019400471821427345,
0.014... |
Allybaby21/Allysai | [] | 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:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: cartoondetection_sagnik
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9976562261581421
---
# cartoondet... | [
-0.002312667900696397,
-0.00709214573726058,
0.012155022472143173,
0.03756319358944893,
0.03409354388713837,
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-0.03599371016025543,
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0.05458845570683479,
0.024659249931573868,
0.0033589215017855167,
0.00479467399418354,
0.0... |
Analufm/Ana | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
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},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
- precision
- recall
model-index:
- name: roberta-bne-clara
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comme... | [
-0.013967645354568958,
0.004314716439694166,
0.006122114136815071,
0.049281373620033264,
0.019819391891360283,
0.01496203988790512,
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0.000036374040064401925,
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0.03745768219232559,
-0.004425572697073221,
-0.05510518327355385,
-0.008025472983717918,
... |
Andranik/TestPytorchClassification | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"DistilBertForSequenceClassification"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
... | 36 | null | # `cardiffnlp/xlm-roberta-base-tweet-sentiment-pt`
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the
[cardiffnlp/tweet_sentiment_multilingual](https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual) (portuguese).
Following metrics are computed on... | [
-0.023708298802375793,
-0.023083671927452087,
0.009400619193911552,
0.024221817031502724,
0.027531558647751808,
0.033395104110240936,
-0.015299123711884022,
-0.020905716344714165,
-0.038865651935338974,
0.038328398019075394,
0.01940819062292576,
-0.05720322206616402,
-0.024632932618260384,
... |
Andranik/TestQaV1 | [
"pytorch",
"rust",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"RobertaForQuestionAnswering"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 4 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
- precision
- recall
model-index:
- name: fine-tuned-DatasetQAS-TYDI-QA-ID-with-indobert-base-uncased-with-ITTL-without-freeze-LR-1e-05
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had acce... | [
-0.011800079606473446,
0.007826610468327999,
-0.012557084672152996,
0.03612205386161804,
0.03134746849536896,
0.013461691327393055,
-0.02030644193291664,
-0.016440240666270256,
-0.04384204000234604,
0.05260399729013443,
-0.004623821005225182,
-0.052921272814273834,
0.026985350996255875,
0.... |
AndreLiu1225/t5-news-summarizer | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": true,
"length_penalty": 2,
"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 10 | null | # `cardiffnlp/xlm-roberta-base-tweet-sentiment-ar`
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the
[cardiffnlp/tweet_sentiment_multilingual](https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual) (arabic).
Following metrics are computed on the... | [
-0.01967291347682476,
-0.017714347690343857,
-0.0004016744205728173,
0.028843272477388382,
0.02673291228711605,
0.029001859948039055,
-0.015187147073447704,
-0.02455904334783554,
-0.04629036411643028,
0.043385978788137436,
0.027206944301724434,
-0.05270984023809433,
-0.01894858293235302,
0... |
Andrija/RobertaFastBPE | [] | 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: cc-by-4.0
metrics:
- bleu4
- meteor
- rouge-l
- bertscore
- moverscore
language: es
datasets:
- lmqg/qg_esquad
pipeline_tag: text2text-generation
tags:
- question generation
widget:
- text: "del <hl> Ministerio de Desarrollo Urbano <hl> , Gobierno de la India."
example_title: "Question Generation Exampl... | [
0.029352551326155663,
-0.007730708923190832,
-0.01218442153185606,
0.030924493446946144,
0.04510830342769623,
0.004057690966874361,
-0.017047995701432228,
-0.0018321709940209985,
-0.032688628882169724,
0.04886983335018158,
0.008881442248821259,
-0.015072865411639214,
-0.0009864304447546601,
... |
Andrija/SRoBERTa-NER | [
"pytorch",
"roberta",
"token-classification",
"hr",
"sr",
"multilingual",
"dataset:hr500k",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"RobertaForTokenClassification"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_... | 7 | null | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
This model is a latent diffusion model for unconditional image generation of mammograms of size 512vs512.
The model was trained with 1000 images using the [DDPM](https://arxiv.org/abs/2006.11239) architecture.
Th... | [
-0.016754930838942528,
-0.016453692689538002,
0.0031922277994453907,
0.03278033807873726,
0.033601414412260056,
0.014827819541096687,
0.012341643683612347,
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0.03383262827992439,
0.018829984590411186,
-0.006485300604254007,
0.003057412337511778,
... |
Ann2020/rubert-base-cased-finetuned-ner | [] | 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 | 2023-03-06T10:35:21Z | ---
license: bsd-2-clause
pipeline_tag: image-classification
tags:
- code
--- | [
-0.01188194751739502,
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0.0008839135407470167,
0.002211300889030099,
0.05875929072499275,
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0.04654157906770706,
0.024027079343795776,
0.016050638630986214,
0.012055166065692902,
0.... |
Anonymous/ReasonBERT-BERT | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": nul... | 5 | null | ---
library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
... | [
-0.045125383883714676,
-0.0014599405694752932,
-0.021828681230545044,
0.03244243562221527,
0.043424587696790695,
0.018078221008181572,
-0.017598066478967667,
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0.0696045309305191,
0.022015752270817757,
0.0032664667814970016,
0.014801794663071632,
... |
Anonymous/ReasonBERT-RoBERTa | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"RobertaModel"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 5 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: Vi-gec8
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. -->
# Vi-gec8
This model is a fine-tune... | [
-0.040261492133140564,
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0.006291565950959921,
0.019886305555701256,
0.03597620874643326,
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0.05388326942920685,
0.023173773661255836,
-0.01439812034368515,
0.02801833115518093,
0.043... |
AnonymousSub/EManuals_BERT_copy | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": nul... | 2 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- squad_modified_for_t5_qg_2
model-index:
- name: greek-m2m100-4ep-512
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 thi... | [
-0.02437959611415863,
-0.00730387307703495,
-0.006449652370065451,
0.04684998095035553,
0.03553111478686333,
0.011473464779555798,
-0.033996108919382095,
0.020612100139260292,
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0.041106730699539185,
0.015784578397870064,
-0.028333446010947227,
0.011888395994901657,
0.... |
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