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 |
|---|---|---|---|---|---|---|---|
Ayham/xlnet_roberta_new_summarization_cnn_dailymail | [] | null | {
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"num_beams... | 0 | null | ## PanGu-α Introduction
PanGu-α is proposed by a joint technical team headed by PCNL. It is the first large-scale Chinese pre-trained language model with 200 billion parameters trained on 2048 Ascend processors using an automatic hybrid parallel training strategy. The whole training process is done on the "Peng Cheng ... | [
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Ayham/xlnetgpt2_xsum7 | [
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"no_re... | 8 | null | ---
tags:
- CartPole-v1
- 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: CartPole-v1
type: CartPole-v1
metrics:
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Aymene/opus-mt-en-ro-finetuned-en-to-ro | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- autotrain
- tabular
- classification
- tabular-classification
datasets:
- Kluuking/autotrain-data-flight-delay
co2_eq_emissions:
emissions: 3.325994852017075
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 3621096840
- CO2 Emissions (in grams): 3.3260
## Validation... | [
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Ayou/chinese_mobile_bert | [
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] | fill-mask | {
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"no_repea... | 16 | null | ---
license: apache-2.0
library_name: sklearn
tags:
- tabular-classification
- baseline-trainer
---
## Baseline Model trained on Airlinesuiztcxpg to apply classification on Delay
**Metrics of the best model:**
accuracy 0.612210
average_precision 0.405509
roc_auc 0.635865
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Ayran/DialoGPT-medium-harry-potter-1-through-3 | [
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"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
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Ayu/Shiriro | [] | null | {
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"num_beams... | 0 | 2023-02-21T03:02:01Z | ---
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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Azizun/Geotrend-10-epochs | [
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"no_repeat... | 6 | 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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BSC-LT/roberta-large-bne-sqac | [
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"no_re... | 15 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Regression_bert_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. -->
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Bala/model_name | [] | null | {
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"num_beams... | 0 | 2023-02-21T05:42:53Z | ---
license: creativeml-openrail-m
---
https://civitai.com/models/7759/hayase-yuuka-lora | [
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Banshee/dialoGPT-luke-small | [] | null | {
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license: creativeml-openrail-m
---
https://civitai.com/models/9846/nakano-nino | [
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BaptisteDoyen/camembert-base-xnli | [
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"fr",
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] | zero-shot-classification | {
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... | 405,474 | null | ---
license: creativeml-openrail-m
---
https://civitai.com/models/8759/girls-frontlineya-instruktor | [
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Barleysack/AERoberta | [
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] | question-answering | {
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"no_re... | 7 | 2023-02-21T06:00:04Z | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: LucaReggiani/t5-small-nlpfinalproject8-xsum
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
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Barleysack/AERoberta2 | [
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"no_re... | 2 | null | ---
license: creativeml-openrail-m
---
https://civitai.com/models/9480/takagi | [
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Barytes/hellohf | [
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"no_repeat_ngram_size... | 2 | null | ---
license: creativeml-openrail-m
---
https://civitai.com/models/9084/skyler-davenport | [
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Batsy24/DialoGPT-small-Twilight_EdBot | [
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"no_repeat_ngram_size... | 6 | null | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---
# my-sentiment-classification-setfit-model
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 ... | [
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BatuhanYilmaz/bert-finetuned-mrpc | [] | null | {
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title: GPT+WolframAlpha+Whisper
emoji: 👀
colorFrom: red
colorTo: gray
sdk: gradio
sdk_version: 3.16.1
app_file: app.py
pinned: false
license: apache-2.0
---
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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BatuhanYilmaz/distilbert-base-uncased-finetuned-squad-d5716d28 | [
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] | question-answering | {
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"no_repea... | 18 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-xls-r-300m-arabic-suit
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove... | [
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BatuhanYilmaz/mlm-finetuned-imdb | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xlsr-53-arabic_suite
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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BeIR/query-gen-msmarco-t5-large-v1 | [
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] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
"task_specific_params": {
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"max_length": null
},
"summarization": {
"early_stopping": true,
"length_penalty": 2,
"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 1,225 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: BM_MLM_EXT_230221062727
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. -->
# BM_MLM_EXT_... | [
-0.04285663738846779,
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0.04... |
BigSalmon/FroBurta | [] | null | {
"architectures": null,
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"num_beams... | 0 | 2023-02-21T08:07:24Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: BM_MLM_EXT_230221080718
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. -->
# BM_MLM_EXT_... | [
-0.04349995404481888,
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0.0... |
BigSalmon/GPTHeHe | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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},
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"no_repeat_ngram_size... | 8 | 2023-02-21T08:16:07Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: shsatst
---
### Shishav1 Dreambooth model trained by taraxis with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab N... | [
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BigSalmon/GPTIntro | [] | null | {
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"num_beams... | 0 | null | ---
language: vi
tags:
- vi
- vietnamese
- gpt2
- text-generation
- lm
- nlp
datasets:
- wikilinguage
widget:
- text: Không phải tất cả các nguyên liệu lành mạnh đều đắt đỏ.
pipeline_tag: text-generation
inference:
parameters:
max_length: 120
do_sample: true
temperature: 0.8
---
# GPT-2
GPT-2, a languag... | [
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0.... |
BigSalmon/InformalToFormalLincoln18 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"no_repeat_ngram_size... | 8 | null |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: a photo of sks dog
tags:
- stable-diffusion
- stable-diffusion-ppdiffusers
- text-to-image
- ppdiffusers
- lora
inference: false
---
# LoRA DreamBooth - xiaozeng/demo_test
These are LoRA adaption weights for runwayml/st... | [
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BigSalmon/InformalToFormalLincoln21 | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"min_length": null,
"no_repeat_ngram_size... | 8 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole8
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: m... | [
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0.015... |
BigSalmon/MrLincoln5 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"no_repeat_ngram_size... | 9 | 2023-02-21T09:04:48Z | ---
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
... | [
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0.02... |
BigSalmon/MrLincoln7 | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
type... | [
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0... |
BigSalmon/SimplifyText | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 17 | null | ---
tags:
- autotrain
- translation
language:
- unk
- unk
datasets:
- Tritkoman/autotrain-data-oldeast33
co2_eq_emissions:
emissions: 0.031011095646616332
---
# Model Trained Using AutoTrain
- Problem type: Translation
- Model ID: 3627796950
- CO2 Emissions (in grams): 0.0310
## Validation Metrics
- Loss: 2.489
-... | [
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... |
BigSalmon/T5Salmon2 | [
"pytorch",
"jax",
"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... | 13 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: mean_rew... | [
-0.029807506129145622,
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0.0... |
BigTooth/DialoGPT-small-tohru | [
"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 | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: mean_rew... | [
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0.0... |
Bimal/my_bot_model | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 10 | null | ---
tags:
- autotrain
- translation
language:
- unk
- unk
datasets:
- Tritkoman/autotrain-data-oldeastyav
co2_eq_emissions:
emissions: 0.02421057028704845
---
# Model Trained Using AutoTrain
- Problem type: Translation
- Model ID: 3627896959
- CO2 Emissions (in grams): 0.0242
## Validation Metrics
- Loss: 2.537
-... | [
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... |
Biniam/en_ti_translate | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"translation",
"autotrain_compatible"
] | translation | {
"architectures": [
"MarianMTModel"
],
"model_type": "marian",
"task_specific_params": {
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"max_length": null
},
"summarization": {
"early_stopping": null,
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 14 | null | ---
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: en2arCkptfromgendata
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. -->
# en2a... | [
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Blackmist786/DialoGPt-small-transformers4 | [
"pytorch"
] | null | {
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},
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"num_beams... | 4 | 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... |
BogdanKuloren/continual-learning-paper-embeddings-model | [
"pytorch",
"mpnet",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"MPNetModel"
],
"model_type": "mpnet",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size": n... | 11 | null | ---
tags:
- autotrain
- vision
- image-classification
datasets:
- Kluuking/autotrain-data-cat-vs-dog250_250
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_titl... | [
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-0.0030837098602205515,... |
Bosio/full-sentence-distillroberta3-finetuned-wikitext2 | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- generated_from_trainer
model-index:
- name: my_new_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_new_model
This model is a fine-tuned v... | [
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Botjallu/DialoGPT-small-harrypotter | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
type... | [
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... |
BotterHax/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 8 | null | ---
license: cc-by-nc-nd-4.0
---
# AudioLDM
AudioLDM is a latent text-to-audio diffusion model capable of generating realistic audio samples given any text input. It is available in the 🧨 Diffusers library from v0.15.0 onwards.
# Model Details
AudioLDM was proposed in the paper [AudioLDM: Text-to-Audio Generation ... | [
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Brayan/CNN_Brain_Tumor | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- 3d render
- 3d cartoon
- 3d
- text to image
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
3DKX V2 (ONNX Version)
<img width="604px" src="https://cdn.discordapp.com/attachments/1051410188592226364/1076941914538004581/ezgif-3-7ac098980a.gif">
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Brona/model1 | [] | null | {
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tags:
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---
#DialoGPT-RoyalPurpleFish | [
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---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
library_name: ml-agents
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age... | [
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BumBelDumBel/TRUMP | [
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license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wnut_17
model-index:
- name: my_awesome_wnut_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. ... | [
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---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
library_name: ml-agents
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age... | [
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CAMeL-Lab/bert-base-arabic-camelbert-da-poetry | [
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"tf",
"bert",
"text-classification",
"ar",
"arxiv:1905.05700",
"arxiv:2103.06678",
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"no_rep... | 37 | 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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CAMeL-Lab/bert-base-arabic-camelbert-mix-poetry | [
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"tf",
"bert",
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"ar",
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"arxiv:2103.06678",
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"no_rep... | 31 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- fleurs
metrics:
- wer
model-index:
- name: arabic_whisper_small_fleurs
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: fleurs
type: fleurs
config: ar_eg
sp... | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-egy | [
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"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
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"no_repeat... | 62 | 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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CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-glf | [
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"no_repeat... | 132 | null | Access to model furgo/style_models is restricted and you are not in the authorized list. Visit https://huggingface.co/furgo/style_models to ask for access. | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-did-madar-twitter5 | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
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"no_rep... | 75 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-v2-PixelCopter
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-egy | [
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"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
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"no_repeat... | 52 | null | ---
language:
- hi
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- logistics
model-index:
- name: Whisper full ft test - BeaW
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, the... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-sixteenth | [
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"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
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] | fill-mask | {
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"no_repeat_ngram_size... | 26 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-v2
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
metrics:... | [
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CAUKiel/JavaBERT-uncased | [
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"safetensors",
"bert",
"fill-mask",
"java",
"code",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 7 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- fleurs
metrics:
- wer
model-index:
- name: arabic_whisper_base_fleurs
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: fleurs
type: fleurs
config: ar_eg
spl... | [
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CL/safe-math-bot | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- autotrain
- text-classification
language:
- de
widget:
- text: "I love AutoTrain 🤗"
datasets:
- fathyshalab/autotrain-data-reklam-filtered
co2_eq_emissions:
emissions: 6.219004242367904
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 3631097041
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license: apache-2.0
tags:
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datasets:
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model-index:
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results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove t... | [
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CLS/WubiBERT_models | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_spacy_distilroberta_base_ner
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9530461124
- name: NER Recall
type: recall
value:... | [
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CLTL/icf-domains | [
"pytorch",
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"nl",
"transformers",
"license:mit",
"text-classification"
] | text-classification | {
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"min_length": nul... | 35 | null | ---
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_spacy_bert_small_ner
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9214261575
- name: NER Recall
type: recall
value: 0.91770... | [
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CLTL/icf-levels-adm | [
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"... | 33 | 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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CLTL/icf-levels-ber | [
"pytorch",
"roberta",
"text-classification",
"nl",
"transformers",
"license:mit"
] | text-classification | {
"architectures": [
"RobertaForSequenceClassification"
],
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"... | 33 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: deit-tiny-patch16-224-finetuned-og-dataset-10e
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
... | [
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0.0... |
CLTL/icf-levels-etn | [
"pytorch",
"roberta",
"text-classification",
"nl",
"transformers",
"license:mit"
] | text-classification | {
"architectures": [
"RobertaForSequenceClassification"
],
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"... | 31 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fine-tuned-bert
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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CLTL/icf-levels-ins | [
"pytorch",
"roberta",
"text-classification",
"nl",
"transformers",
"license:mit"
] | text-classification | {
"architectures": [
"RobertaForSequenceClassification"
],
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"... | 32 | null | ---
license: creativeml-openrail-m
language:
- en
- ja
tags:
- art
---
.png)
An equally weighted merge of the following 5 popular and powerful models (4 anime models and 1 realistic model).
- [Picasso Diffusion 1.1](https:... | [
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CM-CA/DialoGPT-small-cartman | [] | null | {
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"num_beams... | 0 | null |
---
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... | [
-0.04134029150009155,
-0.0012939622392877936,
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0.04900084435939789,
0.018586480990052223,
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0.02062804251909256,
0... |
CSResearcher/TestModel | [
"license:mit"
] | null | {
"architectures": null,
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},
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"num_beams... | 0 | null | ---
tags:
- autotrain
- summarization
language:
- en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- Mantas/autotrain-data-dappradar-long-desc-summariation
co2_eq_emissions:
emissions: 25.514597810198214
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 3632397064
- CO2 Emissions (in g... | [
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0.011845234781503677,
0.04... |
Caddy/UD | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, t... | [
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0.043... |
Calamarii/calamari | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---
# StatsGary/setfit-ft-online-abuse
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... | [
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Cameron/BERT-mdgender-convai-binary | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
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"no_rep... | 33 | 2023-02-21T14:30:46Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
met... | [
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0.... |
Canadiancaleb/DialoGPT-small-jesse | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 9 | 2023-02-21T14:38:43Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: split
... | [
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Canadiancaleb/jessebot | [] | null | {
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"num_beams... | 0 | 2023-02-21T14:39:01Z |
---
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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... |
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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},
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"no_rep... | 4 | 2023-02-21T14:49:06Z | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: danbooruTagAutocomplete
results: []
co2_eq_emissions: 100
language:
- en
library_name: transformers
pipeline_tag: text-generation
datasets:
- 0Tick/Danbooru-Random-Posts-Scrape
---
## Model description
This is a fine-tuned vers... | [
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Captain-1337/CrudeBERT | [
"pytorch",
"bert",
"text-classification",
"arxiv:1908.10063",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
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"no_rep... | 28 | 2023-02-21T14:53:29Z | ---
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: 7.52 +/- 2.73
... | [
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Carlork314/Xd | [] | 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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0.025146696716547012,
... |
CarlosPR/mt5-spanish-memmories-analysis | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
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"no_repeat... | 7 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-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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Carolhuehuehuehue/Sla | [] | null | {
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"num_beams... | 0 | null | ---
language: en
thumbnail: http://www.huggingtweets.com/aaronsaitama-saitamaguru1-wearesaitama/1676993100401/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: ... | [
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Cat/Kitty | [] | null | {
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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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0.0... |
dccuchile/albert-large-spanish-finetuned-mldoc | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
"model_type": "albert",
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},
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"no... | 27 | null | ---
language:
- en
---
This model has code injected using runpy command. | [
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dccuchile/albert-large-spanish-finetuned-qa-mlqa | [
"pytorch",
"albert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"AlbertForQuestionAnswering"
],
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"no_repe... | 5 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: checkpoint
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. -->
# checkpoint
... | [
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dccuchile/albert-xlarge-spanish-finetuned-pos | [
"pytorch",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
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},
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"no_re... | 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
... | [
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dccuchile/bert-base-spanish-wwm-cased-finetuned-xnli | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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"no_rep... | 28 | 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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dccuchile/bert-base-spanish-wwm-uncased-finetuned-ner | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
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],
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"no_repeat... | 5 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-Pixelcopter-PLE-v0
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE... | [
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dccuchile/distilbert-base-spanish-uncased-finetuned-pawsx | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | {
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],
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... | 29 | null | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: consejo-ner
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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chainyo/speaker-recognition-meetup | [] | null | {
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"num_beams... | 1 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-v1
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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Ciruzzo/DialoGPT-medium-harrypotter | [] | null | {
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"num_beams... | 0 | null | # Model Card for krishnagarg09/stance-detection-semeval2016
## Model Description
The goal is to identify the stance (AGAINST, NONE, FAVOR) of a user towards a given target.
Sample:
```
Input: Lord, You are my Hope! In You I will always trust.
Target: Atheism
Stance: AGAINST
```
The model is pretrained on SemEval201... | [
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CleveGreen/JobClassifier_v2 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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],
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"no_rep... | 37 | 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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... |
DSI/TweetBasedSA | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
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},
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"no_rep... | 29 | 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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... |
DSI/personal_sentiment | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
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},
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"no_rep... | 25 | null | ---
license: creativeml-openrail-m
---
这是自用的采集目录，非原创，勿下载传播 | [
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DavidAMcIntosh/DialoGPT-small-rick | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- generated_from_trainer
model-index:
- name: SajjadAyoubi_xlm-roberta-large-fa-qa_finetune_on_hoshfa_10
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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Davlan/xlm-roberta-base-finetuned-yoruba | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
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"no_repe... | 29 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner-trainerAPI
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
... | [
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Declan/CNN_model_v3 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
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"no_repeat_ngram_size... | 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: 7.56 +/- 2.71
... | [
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Declan/FoxNews_model_v1 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
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"no_repeat_ngram_size... | 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
... | [
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Declan/NewYorkTimes_model_v6 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"BertForMaskedLM"
],
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"no_repeat_ngram_size... | 5 | null | # **Abstract**
On January 1, 2013, DeepMind published a paper called "Playing Atari
with Deep Reinforcement Learning" introducing their algorithm called
Deep Q-Network (DQN) which revolutionized the field of reinforcement
learning. For the first time they had brought together Deep Learning and
Q-learning and showed im... | [
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Declan/WallStreetJournal_model_v4 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"BertForMaskedLM"
],
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"no_repeat_ngram_size... | 7 | 2023-02-22T09:34:50Z | ---
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/WallStreetJournal_model_v8 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
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"no_repeat_ngram_size... | 9 | 2023-02-22T09:37:03Z | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
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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... |
Declan/test_model | [] | null | {
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},
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"num_beams... | 0 | null | ---
license: creativeml-openrail-m
tags:
- art
language:
- en
---
# 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... | [
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0... |
Declan/test_push | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- shrinath-suresh/qa
model-index:
- name: qa3k
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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-0.03245959058403969,
0.04918277636170387,
0.02269701287150383,
-0.006920144893229008,
0.004309637937694788,
0.... |
DeepBasak/Slack | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
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},
"summarization": {
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"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: mit
datasets:
- cifar10
language:
- en
pipeline_tag: image-classification
---
# micromind checkpoints for CIFAR-10
This repository contains checkpoints for the CIFAR-10 dataset for the following networks:
| Model | Top 1 Accuracy | Top 5 Accuracy |
| ------------------ |---------------- | ------... | [
-0.011188852600753307,
-0.016949325799942017,
-0.007432480342686176,
0.019689498469233513,
0.0453140027821064,
0.01735631376504898,
-0.023159658536314964,
0.011116067878901958,
-0.02477341704070568,
0.06485649198293686,
0.02555857226252556,
0.002074324991554022,
0.005195484030991793,
0.036... |
DeepChem/ChemBERTa-10M-MLM | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"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_ngra... | 90 | 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:... | [
-0.029234038665890694,
0.018230242654681206,
0.0036606306675821543,
0.009176405146718025,
0.04400138929486275,
-0.018997717648744583,
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-0.01578444615006447,
-0.029898816719651222,
0.0846094936132431,
0.017318837344646454,
-0.008446608670055866,
0.017369553446769714,
0... |
DeepChem/ChemBERTa-5M-MTR | [
"pytorch",
"roberta",
"transformers"
] | null | {
"architectures": [
"RobertaForRegression"
],
"model_type": "roberta",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_repeat_ng... | 13 | 2023-02-22T09:45:36Z | ---
license: mit
datasets:
- cifar100
language:
- en
pipeline_tag: image-classification
---
# micromind checkpoints for CIFAR-100
This repository contains checkpoints for the CIFAR-100 dataset for the following networks:
| Model | Top 1 Accuracy | Top 5 Accuracy |
| ------------------ |---------------- | ---... | [
-0.00956190750002861,
-0.013986625708639622,
-0.012668600305914879,
0.020588213577866554,
0.04758540913462639,
0.01314482744783163,
-0.022626522928476334,
0.009381844662129879,
-0.025048591196537018,
0.06695647537708282,
0.023477979004383087,
-0.0004069375863764435,
0.0030516888946294785,
... |
DeepChem/ChemBERTa-77M-MLM | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"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_ngra... | 2,416 | 2023-02-22T09:47:33Z | ---
language:
- en
- zh
license: gpl-3.0
tags:
- bicleaner-ai
tasks:
- text-classification
---
# Bicleaner AI full model for English-Chinese
Bicleaner AI is a tool that aims at detecting noisy sentence pairs in a parallel corpus. It
indicates the likelihood of a pair of sentences being mutual translations (wit... | [
-0.007951189763844013,
-0.021047094836831093,
-0.0014152068179100752,
0.04566887766122818,
0.020282922312617302,
0.016274573281407356,
-0.0009007685584947467,
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-0.04181823134422302,
0.038322657346725464,
0.017356807366013527,
0.03465752303600311,
0.021897535771131516,
... |
DeepChem/ChemBERTa-77M-MTR | [
"pytorch",
"roberta",
"transformers"
] | null | {
"architectures": [
"RobertaForRegression"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ng... | 7,169 | 2023-02-22T09:47:46Z | ---
license: mit
datasets:
- mnist
language:
- en
pipeline_tag: image-classification
---
# micromind checkpoints for MNIST
This repository contains checkpoints for the MNIST dataset for the following networks:
| Model | Top 1 Accuracy | Top 5 Accuracy |
| ------------------ |---------------- | --------------... | [
-0.018896933645009995,
-0.012036859057843685,
-0.005218679551035166,
0.02670767344534397,
0.02887732908129692,
0.010556827299296856,
-0.011598736047744751,
0.010024841874837875,
-0.029858388006687164,
0.05756807699799538,
0.025420883670449257,
-0.004041304346174002,
0.02087588980793953,
0.... |
DeepPavlov/bert-base-bg-cs-pl-ru-cased | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"bg",
"cs",
"pl",
"ru",
"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... | 1,614 | null | Access to model sapra1/gptku is restricted and you are not in the authorized list. Visit https://huggingface.co/sapra1/gptku to ask for access. | [
-0.04105613753199577,
-0.007662039715796709,
-0.00032956383074633777,
0.01567522995173931,
0.051153142005205154,
0.002912716707214713,
-0.000017034302800311707,
0.02673705667257309,
-0.06196601688861847,
0.036631643772125244,
0.02896866202354431,
-0.010850799269974232,
0.017386414110660553,
... |
DeepPavlov/distilrubert-base-cased-conversational | [
"pytorch",
"distilbert",
"ru",
"arxiv:2205.02340",
"transformers"
] | null | {
"architectures": null,
"model_type": "distilbert",
"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,
"n... | 6,324 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinfoce-CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: ... | [
-0.02683170698583126,
0.015239294618368149,
0.0034835815895348787,
0.003657315392047167,
0.04550224542617798,
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-0.01964707113802433,
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-0.03406114503741264,
0.086753711104393,
0.02004666067659855,
-0.007479893509298563,
0.015716051682829857,
0.015... |
DeepPavlov/roberta-large-winogrande | [
"pytorch",
"roberta",
"text-classification",
"en",
"dataset:winogrande",
"arxiv:1907.11692",
"transformers"
] | text-classification | {
"architectures": [
"RobertaForSequenceClassification"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"... | 348 | 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... | [
-0.023799095302820206,
-0.005100892391055822,
0.006846534088253975,
0.03811287879943848,
0.033848293125629425,
0.015374970622360706,
-0.0308437030762434,
-0.017629627138376236,
-0.01853852905333042,
0.06129763275384903,
0.008311169221997261,
-0.006142632570117712,
0.014125768095254898,
0.0... |
DeepPavlov/rubert-base-cased-conversational | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"ru",
"transformers",
"has_space"
] | 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... | 17,362 | null | civitai部分模型搬运
- [taiwan-doll-likeness](https://civitai.com/models/7716/taiwan-doll-likeness)
 taiwan-doll-likeness 台湾小姐姐
---
- [korean-doll-likeness](https://civitai.com/models/7448/korean-dol... | [
-0.027525722980499268,
-0.05016743019223213,
0.019598422572016716,
0.05258826166391373,
0.01647665724158287,
0.012675379402935505,
-0.001963010523468256,
0.02170608937740326,
-0.03990260139107704,
0.04607232287526131,
0.004151136614382267,
-0.02386206015944481,
0.022829556837677956,
0.0257... |
DeltaHub/adapter_t5-3b_qnli | [
"pytorch",
"transformers"
] | 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... | 3 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- wikitext
model-index:
- name: wikitext-ds
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. -->
# wikitext-... | [
-0.01647956855595112,
-0.02730637602508068,
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0.03133530169725418,
0.01339742448180914,
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0.05639491230249405,
0.031681936234235764,
-0.005352110136300325,
0.02005077712237835,
0.04... |
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