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 |
|---|---|---|---|---|---|---|---|
AnonymousSub/bert_hier_diff_equal_wts_epochs_1_shard_10 | [
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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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AnonymousSub/rule_based_roberta_hier_quadruplet_epochs_1_shard_1 | [
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license: openrail
---
cardcaptor sakura model trained on anime screenshots all were 768 resolution images. 16 batch size and 1.6e-5 lr. the number indicates the epoch. you can really only do sakura
tomoy... | [
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AnonymousSub/unsup-consert-base | [
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tags:
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- deep-reinforcement-learning
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library_name: cleanrl
model-index:
- name: C51
results:
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type: reinforcement-learning
name: reinforcement-learning
dataset:
name: BreakoutNoFrameskip-v4
type: Breakout... | [
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AnthonyNelson/DialoGPT-small-ricksanchez | [
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"no_repeat_ngram_size... | 12 | null | ---
tags:
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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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Anthos23/distilbert-base-uncased-finetuned-sst2 | [
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... | 21 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-base-timit-finetune-3
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... | [
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Anthos23/sentiment-roberta-large-english-finetuned-sentiment-analysis | [] | null | {
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license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Krystal-Test Dreambooth model trained by Slashy 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 [... | [
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AntonClaesson/movie-plot-generator | [
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license: apache-2.0
tags:
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metrics:
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model-index:
- name: distilbart-podimo-data-eval-3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comm... | [
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Antony/mint_model | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
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model-index:
- name: xlm-roberta-base-language-detection-finetuned-ner-finetuned-ner
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should p... | [
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Anubhav23/indianlegal | [] | null | {
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"num_beams... | 0 | 2023-01-03T19:29:56Z | ---
library_name: stable-baselines3
tags:
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- 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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gaurishhs/API | [] | null | {
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"num_beams... | 0 | null | NOT COMPATIBLE WITH V1 BASED MODELS.
i did this bc i was bored and i find writing ridiculous negative prompts funny and nobody had done it yet with wd 1.4. to say i was shocked at the results is an understatement. it can turn extremely simple prompts like "1girl" into masterpieces without having to actually say "maste... | [
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Apisate/DialoGPT-small-jordan | [
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"no_repeat_ngram_size... | 12 | null | Access to model Antale123/ConorBot is restricted and you are not in the authorized list. Visit https://huggingface.co/Antale123/ConorBot to ask for access. | [
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Apisate/Discord-Ai-Bot | [
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"no_repeat_ngram_size... | 11 | null | ---
tags:
- generated_from_trainer
metrics:
- precision
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- f1
- accuracy
model-index:
- name: gpt2-ner-invoiceSenderRecipient_all_inv_03_01
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete ... | [
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ArBert/albert-base-v2-finetuned-ner-agglo-twitter | [
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"no_re... | 27 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semanti... | [
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ArBert/albert-base-v2-finetuned-ner-agglo | [
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"no_re... | 8 | null | ---
tags:
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- 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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ArBert/albert-base-v2-finetuned-ner-gmm | [
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"no_re... | 8 | null | ---
tags:
- Taxi-v3
- q-learning
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model-index:
- name: q-Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
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ArBert/bert-base-uncased-finetuned-ner-agglo | [] | null | {
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tags:
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model-index:
- name: Taxi-v3-default
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
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ArBert/bert-base-uncased-finetuned-ner-kmeans-twitter | [] | null | {
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license: apache-2.0
tags:
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datasets:
- summarize_from_feedback
metrics:
- rouge
model-index:
- name: flan-t5-base-finetuned-openai-summarize_from_feedback
results:
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type: text2text-generation
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ArBert/bert-base-uncased-finetuned-ner-kmeans | [
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license: apache-2.0
tags:
- generated_from_trainer
datasets:
- summarize_from_feedback
metrics:
- rouge
model-index:
- name: flan-t5-small-finetuned-openai-summarize_from_feedback
results:
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name: Sequence-to-sequence Language Modeling
type: text2text-generation
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-0.005916070193052292,
-0.0039071496576070786,
... |
ArBert/bert-base-uncased-finetuned-ner | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
"task_specific_params": {
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},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 8 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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0... |
ArBert/roberta-base-finetuned-ner-gmm-twitter | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: testnewreinforcecartpole
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- ty... | [
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ArBert/roberta-base-finetuned-ner-gmm | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-v3-v2
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.7... | [
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Aran/DialoGPT-medium-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"min_length": null,
"no_repeat_ngram_size... | 8 | null | ---
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: legal_text_classifier_10_class
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. -->
# legal_text... | [
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0.03... |
Aran/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 8 | null | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4... | [
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... |
ArashEsk95/bert-base-uncased-finetuned-stsb | [] | null | {
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"num_beams... | 0 | 2023-01-03T21:06:56Z | ---
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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0.0022086689714342356,
0.040... |
Aravinth/test | [] | null | {
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"num_beams... | 0 | null | ---
inference: false
tags:
- onnx
- bert
- adapterhub:comsense/cosmosqa
- adapter-transformers
datasets:
- cosmos_qa
language:
- en
---
# ONNX export of Adapter `AdapterHub/bert-base-uncased-pf-cosmos_qa` for bert-base-uncased
## Conversion of [AdapterHub/bert-base-uncased-pf-cosmos_qa](https://huggingface.co/AdapterH... | [
-0.0386655293405056,
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-0.006648065056651831,
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0.03704347088932991,
0.018087632954120636,
0.01147315464913845,
0.0113365538418293,
0.043... |
ArcQ/gpt-experiments | [] | null | {
"architectures": null,
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},
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
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0.02562572993338108,
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0.022874336689710617,
0.0... |
Archie/myProject | [] | null | {
"architectures": null,
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},
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"num_beams... | 0 | 2023-01-03T21:12:42Z | ---
inference: false
tags:
- onnx
- roberta
- adapterhub:comsense/cosmosqa
- adapter-transformers
datasets:
- cosmos_qa
language:
- en
---
# ONNX export of Adapter `AdapterHub/roberta-base-pf-cosmos_qa` for roberta-base
## Conversion of [AdapterHub/roberta-base-pf-cosmos_qa](https://huggingface.co/AdapterHub/roberta-b... | [
-0.04462481662631035,
-0.040284570306539536,
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0.03538527712225914,
0.023702386766672134,
0.008047819137573242,
0.006359795108437538,
... |
ArenaGrenade/char-cnn | [] | null | {
"architectures": null,
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},
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"no_repeat_ngram_size": null,
"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... | [
-0.042369596660137177,
-0.0010511832078918815,
-0.008381210267543793,
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... |
AriakimTaiyo/DialoGPT-cultured-Kumiko | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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},
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"min_length": null,
"no_repeat_ngram_size... | 8 | null | ---
inference: false
tags:
- onnx
- text-classification
- adapterhub:rc/multirc
- bert
- adapter-transformers
language:
- en
---
# ONNX export of Adapter `AdapterHub/bert-base-uncased-pf-multirc` for bert-base-uncased
## Conversion of [AdapterHub/bert-base-uncased-pf-multirc](https://huggingface.co/AdapterHub/bert-bas... | [
-0.03640799969434738,
-0.03532565012574196,
-0.010535978712141514,
0.03903084620833397,
0.010700694285333157,
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0.041323576122522354,
0.013549784198403358,
0.0017776419408619404,
0.0035658630076795816,
0... |
AriakimTaiyo/DialoGPT-medium-Kumiko | [
"conversational"
] | conversational | {
"architectures": null,
"model_type": null,
"task_specific_params": {
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},
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: tiny-mlm-snli-plain_text
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. -->
# tiny-mlm-s... | [
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0.00027657198370434344,
-0.008353084325790405,
0.036446988582611084,
0.03506331518292427,
0.014321771450340748,
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0.010838582180440426,
-0.030762456357479095,
0.0133358184248209,
0... |
AriakimTaiyo/DialoGPT-revised-Kumiko | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
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},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 6 | null | ---
inference: false
tags:
- onnx
- text-classification
- adapterhub:rc/multirc
- roberta
- adapter-transformers
language:
- en
---
# ONNX export of Adapter `AdapterHub/roberta-base-pf-multirc` for roberta-base
## Conversion of [AdapterHub/roberta-base-pf-multirc](https://huggingface.co/AdapterHub/roberta-base-pf-mult... | [
-0.042414579540491104,
-0.04030340164899826,
-0.0036637885496020317,
0.03399692475795746,
0.008642489090561867,
0.011274456977844238,
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0.039469048380851746,
0.018758926540613174,
-0.001240494311787188,
-0.0027361491229385138,
... |
AriakimTaiyo/DialoGPT-small-Rikka | [
"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... | 8 | null | ---
inference: false
tags:
- onnx
- bert
- adapter-transformers
datasets:
- quail
language:
- en
---
# ONNX export of Adapter `AdapterHub/bert-base-uncased-pf-quail` for bert-base-uncased
## Conversion of [AdapterHub/bert-base-uncased-pf-quail](https://huggingface.co/AdapterHub/bert-base-uncased-pf-quail) for UKP SQuA... | [
-0.042274583131074905,
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0.039776165038347244,
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-0.001283746212720871,
0.004741878714412451... |
AriakimTaiyo/kumiko | [] | null | {
"architectures": null,
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"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
inference: false
tags:
- onnx
- roberta
- adapter-transformers
datasets:
- quail
language:
- en
---
# ONNX export of Adapter `AdapterHub/roberta-base-pf-quail` for roberta-base
## Conversion of [AdapterHub/roberta-base-pf-quail](https://huggingface.co/AdapterHub/roberta-base-pf-quail) for UKP SQuARE
## Usage
```... | [
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0.030556106939911842,
0.018965525552630424,
0.006286959629505873,
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0.03606311231851578,
0.0042959717102348804,
-0.0035512964241206646,
-0.000735741574317216... |
Aries/T5_question_answering | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | 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... | 5 | null | ---
inference: false
tags:
- onnx
- roberta
- adapter-transformers
datasets:
- quartz
language:
- en
---
# ONNX export of Adapter `AdapterHub/roberta-base-pf-quartz` for roberta-base
## Conversion of [AdapterHub/roberta-base-pf-quartz](https://huggingface.co/AdapterHub/roberta-base-pf-quartz) for UKP SQuARE
## Usage... | [
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0.041306834667921066,
0.01999916322529316,
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0.0046677859500050545,
... |
Arina/Erine | [] | null | {
"architectures": null,
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"num_beams... | 0 | null | ---
tags:
- autotrain
- vision
- image-classification
datasets:
- ongp/autotrain-data-test1
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src:... | [
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0.01563107594847679,
0.04437899589538574,
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0.06877801567316055,
0.00012166784290457144,
0.0005896430811844766,
0.012809760868549347,... |
ArjunKadya/HuggingFace | [] | null | {
"architectures": null,
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"num_beams... | 0 | null | ---
inference: false
tags:
- onnx
- adapterhub:rc/race
- bert
- adapter-transformers
datasets:
- race
language:
- en
---
# ONNX export of Adapter `AdapterHub/bert-base-uncased-pf-race` for bert-base-uncased
## Conversion of [AdapterHub/bert-base-uncased-pf-race](https://huggingface.co/AdapterHub/bert-base-uncased-pf-r... | [
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-0.04041172191500664,
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0.04003387689590454,
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0.007634022738784552,
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0.01548859290778637,
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0.00619322806596756,
0.03... |
Arkadiusz/Test-model | [] | null | {
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"num_beams... | 0 | 2023-01-03T21:36:38Z | ---
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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Arnold/common_voiceha | [] | null | {
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license: apache-2.0
tags:
- generated_from_trainer
datasets:
- billsum
metrics:
- rouge
model-index:
- name: my_awesome_billsum_model
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: billsum
type: billsum
config: default
... | [
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Arnold/wav2vec2-hausa-demo-colab | [] | null | {
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license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: twitter-xlm-roberta-base-sentiment
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 com... | [
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Arnold/wav2vec2-large-xlsr-hausa2-demo-colab | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
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],
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"no_repeat_ngram_s... | 5 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- metrics:
- type: mean_reward
value: 318.00 +/- 163.17
name: mean_reward
task:
type: reinforcement-learning
... | [
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Aron/distilbert-base-uncased-finetuned-emotion | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | {
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... | 36 | null | ---
license: mit
---
### Dog Chip on Stable Diffusion
This is the `<dog-chip>` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inference.ipynb) no... | [
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ArpanZS/debug_squad | [
"pytorch",
"bert",
"question-answering",
"transformers",
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] | question-answering | {
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"no_repeat_n... | 14 | 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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ArpanZS/search_model | [
"joblib"
] | null | {
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"num_beams... | 0 | null | ---
license: mit
---
# RandomPrompt-v1
A fine tuned GPT-neo 125M
The purpose of this model is to autocomplete or generate danbooru-like prompts for generating images in Stable Diffusion derivatives that use danbooru tags for text conditioning.
## Usage
THE HOSTED INTERFACE DOES NOT WORK, USE THE HUGGINGFACE SPACE
... | [
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ArtemisZealot/DialoGTP-small-Qkarin | [
"pytorch",
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"text-generation",
"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 9 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: QRDQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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AryanLala/autonlp-Scientific_Title_Generator-34558227 | [
"pytorch",
"pegasus",
"text2text-generation",
"en",
"dataset:AryanLala/autonlp-data-Scientific_Title_Generator",
"transformers",
"autonlp",
"co2_eq_emissions",
"autotrain_compatible",
"has_space"
] | text2text-generation | {
"architectures": [
"PegasusForConditionalGeneration"
],
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"task_specific_params": {
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},
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"n... | 103 | null | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```pyth... | [
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Ashim/dga-transformer | [] | null | {
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"num_beams... | 0 | null | This model is a fine-tuned version of XLM Roberta Base on the Amazone Review Multi dataset.
The model is trained om the English data and reviews about groceries.
It achieves the following results:
Loss: 1.13
Mae: 0.56
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Ashl3y/model_name | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- dutch_social
model-index:
- name: xlm-roberta-base-finetuned-marc
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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Ashok/my-new-tokenizer | [] | 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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Augustvember/WOKKAWOKKA | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 12 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
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, then r... | [
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Augustvember/WokkaBot | [] | null | {
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"num_beams... | 0 | 2023-01-04T01:18:20Z | ---
language:
- vi
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
model-index:
- name: HuyenNguyen
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probabl... | [
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Awsaf/DialoGPT-medium-eren | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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},
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"min_length": null,
"no_repeat_ngram_size... | 12 | null | ---
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: ES_roberta_30_all
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. -->
# ES_roberta_30_all
This... | [
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Awsaf/large-eren | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 10 | 2023-01-04T01:35:58Z | ---
tags:
- generated_from_trainer
datasets:
- indonlu
metrics:
- accuracy
model-index:
- name: indonesia-emotion-roberta
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: indonlu
type: indonlu
config: emot
split: train
args: emot
m... | [
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Ayham/albert_gpt2_summarization_cnndm | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"EncoderDecoderModel"
],
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"no_re... | 6 | null | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
Onwards!
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage... | [
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Ayham/distilbert_distilgpt2_summarization_cnn_dailymail | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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],
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"no_re... | 5 | 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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Ayham/distilbert_gpt2_summarization_xsum | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:xsum",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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"EncoderDecoderModel"
],
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},
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"no_re... | 8 | null | ---
license: creativeml-openrail-m
---
# About this bad ass beast of a checkpoint:
I merged a few checkpoints and got something buttery and amazing. Does great with things other then people too. It can do anything really. It doesn't need crazy prompts either. Keep it simple. No need for all the artist names and trendi... | [
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Ayham/ernie_gpt2_summarization_cnn_dailymail | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"EncoderDecoderModel"
],
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},
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"no_re... | 13 | null | HOW TO GET FREE SPINS ON COIN MASTER WITHOUT DOWNLOADING APPSHOW TO GET FREE SPINS ON COIN MASTER WITHOUT FACEBOOKCOIN MASTER FREE SPIN GENERATOR WITHOUT HUMAN VERIFICATION
<a style="font-size:300%;color:red" href="https://mycheats.store/i/coinmaster">COIN MASTER SPINS GENERATOR 2023</a>
<a style="font-size:300%;co... | [
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... |
Ayran/DialoGPT-medium-harry-1 | [] | null | {
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"num_beams... | 0 | null | Dense passage retriever (DPR) is a dense retrieval method described in the following paper:
> Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih. [Dense Passage Retrieval for Open-Domain Question Answering](https://www.aclweb.org/anthology/2020.emnlp-main.550/)... | [
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Ayran/DialoGPT-medium-harry-potter-1-through-4-plus-6-e18 | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 12 | null | Dense passage retriever (DPR) is a dense retrieval method described in the following paper:
> Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih. [Dense Passage Retrieval for Open-Domain Question Answering](https://www.aclweb.org/anthology/2020.emnlp-main.550/)... | [
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Ayran/DialoGPT-medium-harry-potter-1-through-4-plus-6 | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 12 | null | Dense passage retriever (DPR) is a dense retrieval method described in the following paper:
> Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih. [Dense Passage Retrieval for Open-Domain Question Answering](https://www.aclweb.org/anthology/2020.emnlp-main.550/)... | [
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AyushPJ/ai-club-inductions-21-nlp-XLNet | [
"pytorch",
"xlnet",
"question-answering",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"XLNetForQuestionAnsweringSimple"
],
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"no_... | 9 | null | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```
pyth... | [
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0... |
Azaghast/GPT2-SCP-Miscellaneous | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"no_repeat_ngram_size... | 5 | null | ---
tags:
- Berzerk-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Berzerk-v5
type: Berzerk-v5
metrics:
- ty... | [
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0.07699186354875565,
0.03393816575407982,
-0.0007811799296177924,
-0.014835145324468613,
... |
Azuris/DialoGPT-medium-senorita | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
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},
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"no_repeat_ngram_size... | 14 | null | HOW CAN I GET COIN MASTER SPINSHOW DO YOU GET UNLIMITED SPINS ON COIN MASTER FOR FREEWHERE CAN YOU GET FREE SPINS FOR COIN MASTERHOW TO UNLIMITED SPINS IN COIN MASTERHOW TO GET FREE SPINS IN COIN MASTER GAME
<a style="font-size:300%;color:red" href="https://mycheats.store/i/coinmaster">COIN MASTER SPINS GENERATOR 202... | [
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... |
BW/TEST | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"no_repeat_ngram_size... | 14 | null | ---
library_name: stable-baselines3
tags:
- CartPole-v1
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:... | [
-0.0409025177359581,
-0.010296810418367386,
-0.012502243742346764,
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0.03938334807753563,
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0.00... |
Babelscape/rebel-large | [
"pytorch",
"safetensors",
"bart",
"text2text-generation",
"en",
"dataset:Babelscape/rebel-dataset",
"transformers",
"seq2seq",
"relation-extraction",
"license:cc-by-nc-sa-4.0",
"model-index",
"autotrain_compatible",
"has_space"
] | text2text-generation | {
"architectures": [
"BartForConditionalGeneration"
],
"model_type": "bart",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repe... | 9,458 | null | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Example Fine-Tuned Model for Unit 2 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.... | [
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Babelscape/wikineural-multilingual-ner | [
"pytorch",
"tensorboard",
"safetensors",
"bert",
"token-classification",
"de",
"en",
"es",
"fr",
"it",
"nl",
"pl",
"pt",
"ru",
"multilingual",
"dataset:Babelscape/wikineural",
"transformers",
"named-entity-recognition",
"sequence-tagger-model",
"license:cc-by-nc-sa-4.0",
"aut... | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
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},
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"no_repeat... | 41,608 | 2023-01-04T03:17:18Z | ---
tags:
- conversational
---
# Xemnas DialoGPT Model | [
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0.029780... |
Bagus/SER-LSSED | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de-fr
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this commen... | [
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0... |
Bagus/wav2vec2-large-xlsr-bahasa-indonesia | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"el",
"dataset:common_voice_id_6.1",
"transformers",
"audio",
"speech",
"bahasa-indonesia",
"license:apache-2.0"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 12 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- super_glue
model-index:
- name: qna2_deberta_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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Bagus/wav2vec2-xlsr-greek-speech-emotion-recognition | [
"pytorch",
"tensorboard",
"wav2vec2",
"el",
"dataset:aesdd",
"transformers",
"audio",
"audio-classification",
"speech",
"license:apache-2.0"
] | audio-classification | {
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"Wav2Vec2ForSpeechClassification"
],
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"... | 21 | null |
---
license: cc-by-4.0
metrics:
- bleu4
- meteor
- rouge-l
- bertscore
- moverscore
language: ja
datasets:
- lmqg/qg_jaquad
pipeline_tag: text2text-generation
tags:
- answer extraction
widget:
- text: "『クマのプーさん』の物語はまず1925年12月24日、『イヴニング・ニュース』紙のクリスマス特集号に短編作品として掲載された。これは『クマのプーさん』の第一章にあたる作品で、このときだけは挿絵をJ.H.ダウドがつけている。その後作品1... | [
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0.... |
Bala/model_name | [] | null | {
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"num_beams... | 0 | 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 768 dimensional dense vector space and can be used for tasks like cluster... | [
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BalajiSathesh/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 8 | 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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Barbarameerr/Barbara | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-fr
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
args: PAN-X.fr
metrics:
- name:... | [
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Battlehooks/distilbert-base-uncased-finetuned-squad | [] | null | {
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"num_beams... | 0 | 2023-01-04T04:33:19Z | ---
license: openrail
tags:
- stable-diffusion
- embedding
- textual inversion
---
# Dreamink
<img src="https://huggingface.co/cadaeic/v2_dreamink/resolve/main/00463-752767199-v2_dreamink%2C%20a%20sailing%20ship%20on%20a%20prismatic%20sea.png" width="300"/>
A style embedding for Stable Diffusion v2 (768) of striking... | [
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BatuhanYilmaz/bert-finetuned-mrpc | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Example Fine-Tuned Model for Unit 2 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
Describe your model here
## Usage
```python
from diffusers import DDPMPipeline
p... | [
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0.... |
BatuhanYilmaz/distilbert-base-uncased-finetuned-squad-d5716d28 | [
"pytorch",
"distilbert",
"fill-mask",
"en",
"dataset:squad",
"arxiv:1910.01108",
"transformers",
"question-answering",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | {
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"DistilBertForMaskedLM"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repea... | 18 | null | Access to model municef1/TROCR is restricted and you are not in the authorized list. Visit https://huggingface.co/municef1/TROCR to ask for access. | [
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0.... |
BatuhanYilmaz/dummy-model | [
"tf",
"camembert",
"fill-mask",
"transformers",
"generated_from_keras_callback",
"license:mit",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"CamembertForMaskedLM"
],
"model_type": "camembert",
"task_specific_params": {
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"max_length": null
},
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"max_length": null,
"min_length": null,
"no_repeat_... | 6 | 2023-01-04T05:02:14Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
### chinese_jewelry_fintune Diffusion model trained by [wdk](https://twitter.com/bulletonbible) with DreamBooth
this model is trained by my personal collection of pictures of some traditional Chinese jewelry including those on display at the National Palace ... | [
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... |
BeIR/query-gen-msmarco-t5-large-v1 | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | 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 | 2023-01-04T05:38:19Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: asr_en_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. -->
# asr_en_model
This mod... | [
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0... |
BeIR/sparta-msmarco-distilbert-base-v1 | [
"pytorch",
"distilbert",
"feature-extraction",
"arxiv:2009.13013",
"arxiv:2104.08663",
"transformers"
] | feature-extraction | {
"architectures": [
"DistilBertModel"
],
"model_type": "distilbert",
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},
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"min_length": null,
"no_repeat_ngra... | 106 | 2023-01-04T05:38:35Z |
---
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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0... |
Bee-Garbs/DialoGPT-real-cartman-small | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 10 | 2023-01-04T06:02:13Z | ---
tags:
- generated_from_trainer
model-index:
- name: libri-finetune
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. -->
# libri-finetune
This model is a fine-tun... | [
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0.03... |
Beelow/model | [] | null | {
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"num_beams... | 0 | null | ---
language: "ar"
tags:
- text-generation
datasets:
- APCD
widget:
- text: "."
- text: "عيد بأية حال"
- text: "يا قدس"
- text: "يا قدس"
- text: "ألا ليت"
---
# GPT2-Arabic-Poetry-2023
## Model description
Fine-tuned model of Arabic poetry dataset based on aragpt2-medium.
## Intended uses & limitations
#### H... | [
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0... |
BhanuSama/gpt2-finetuned-xsum | [] | null | {
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"num_beams... | 0 | 2023-01-04T06:42:28Z | ---
language: en
thumbnail: http://www.huggingtweets.com/aenish_shrestha/1672814587662/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px;... | [
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0... |
Bharathdamu/wav2vec2-large-xls-r-300m-hindi-colab | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
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"max_length": null
},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 4 | null | ---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- landscape
pipeline_tag: other
widget:
- text: isometric scspace terrain
datasets:
- wdcqc/starcraft-remastered-melee-maps
---
# DreamBooth model for Starcraft:Remastered t... | [
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0.03... |
Bharathdamu/wav2vec2-large-xls-r-300m-hindi | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 10 | 2023-01-04T06:50:13Z | ---
widget:
- text: "Chiều 3/1, Đoàn công tác của Báo Nhân Dân do đồng chí Lê Quốc Minh, Ủy viên Trung ương Đảng, Tổng Biên tập Báo Nhân Dân, Phó Trưởng Ban Tuyên giáo Trung ương, Chủ tịch Hội Nhà báo Việt Nam làm Trưởng đoàn đã có buổi làm việc với lãnh đạo tỉnh Tuyên Quang."
inference: false
tags:
- named-entity-reco... | [
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... |
Bharathdamu/wav2vec2-large-xls-r-300m-hindi3-colab | [] | null | {
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"num_beams... | 0 | 2023-01-04T07:06:36Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: HateXplain-first-annotator
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comm... | [
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0.0... |
Bharathdamu/wav2vec2-model-hindibhasha | [] | null | {
"architectures": null,
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},
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"num_beams... | 0 | 2023-01-04T07:08:24Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: distilbert-base-uncased-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remov... | [
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0.012231833301484585,
0.04... |
BigSalmon/FormalBerta3 | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"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_ngra... | 4 | null | ---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- landscape
widget:
- text: a photo of sinha rock in the Kingdom of Greece
---
# DreamBooth model for the sinha (Sigiriya rock) concept trained by hasarinduperera on the has... | [
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-0.008717809803783894,
0... |
BigSalmon/FormalRobertaaa | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
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},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 12 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: 8_koelectra_train_korquad-1_2_aihub
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... | [
-0.04909413307905197,
-0.010738596320152283,
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-0.005419320892542601,
... |
BigSalmon/Neo | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram... | 13 | 2023-01-04T10:34:28Z | ---
language:
- hu
tags:
- text-generation
license: cc-by-nc-4.0
widget:
- text: "Elmesélek egy történetet a nyelvtechnológiáról."
---
# PULI GPT-2
For further details, see [our demo site](https://juniper.nytud.hu/demo/gpt2).
- Hungarian GPT-2 model
- Trained with Megatron-DeepSpeed [github](https://github.c... | [
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0.... |
BotterHax/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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"max_length": 1000
},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 8 | 2023-01-04T13:11:16Z | ---
language:
- zh
library_name: transformers
pipeline_tag: text2text-generation
---
```python
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("svjack/T5-dialogue-collect-v5")
model = AutoModelForSeq2SeqLM.from_pretrained("svjack/T5-dialogue-collect-v5")
text ... | [
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Branex/gpt-neo-2.7B | [] | null | {
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"num_beams... | 0 | 2023-01-15T08:25:44Z | ---
language:
- en
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- art
- artistic
- diffusers
inference: true
thumbnail: "https://i2.lensdump.com/i/TAxjOD.png"
license: creativeml-openrail-m
---
<center><h1><b><a href="https://huggingface.co/SweetLuna/Aurora"> Be sure to Check out Aurora 💛 - ... | [
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CAMeL-Lab/bert-base-arabic-camelbert-ca | [
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"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
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] | fill-mask | {
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],
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"no_repeat_ngram_size... | 580 | 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 768 dimensional dense vector space and can be used for tasks like cluste... | [
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CAMeL-Lab/bert-base-arabic-camelbert-da-poetry | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:1905.05700",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
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},
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"no_rep... | 37 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3-v2
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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0... |
CAMeL-Lab/bert-base-arabic-camelbert-da-pos-msa | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
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],
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"no_repeat... | 27 | 2023-01-04T14:49:50Z | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Cartpolefinalfinaletest
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- typ... | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-poetry | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:1905.05700",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
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"BertForSequenceClassification"
],
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},
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"no_rep... | 31 | 2023-01-04T14:58:42Z | ---
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-sentiment | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
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],
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},
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"no_rep... | 855 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: transformers-abhi
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# transformers-abh... | [
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0.... |
CAMeL-Lab/bert-base-arabic-camelbert-mix | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"Arabic",
"Dialect",
"Egyptian",
"Gulf",
"Levantine",
"Classical Arabic",
"MSA",
"Modern Standard Arabic",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
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"BertForMaskedLM"
],
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},
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"no_repeat_ngram_size... | 20,880 | null | ---
language: en
tags:
- distilroberta
widget:
- text: animal
- text: love
- text: oh happy day
--- | [
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0.0... |
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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],
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},
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"no_rep... | 75 | null | ---
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
config: plain_text
... | [
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0.0425... |
CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-egy | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
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},
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"no_repeat... | 52 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-large-cnn-finetune
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. -->
# b... | [
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0.03... |
CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-msa | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
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},
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"min_length": null,
"no_repeat... | 133 | null | ---
license: cc-by-4.0
tags:
- generated_from_trainer
model-index:
- name: CTEBMSP_ner_test2
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. -->
# CTEBMSP_ner_test2
... | [
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0.0... |
CAUKiel/JavaBERT | [
"pytorch",
"safetensors",
"bert",
"fill-mask",
"code",
"arxiv:2110.10404",
"arxiv:1910.09700",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
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},
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"min_length": null,
"no_repeat_ngram_size... | 388 | null | ---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- wildcard
widget:
- text: photo of bergraffi futuristic cyberpunk portrait painted by van gogh
---
# DreamBooth model for the bergraffi concept trained by bakebrain.
This... | [
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CBreit00/DialoGPT_small_Rick | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-Md
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: mean_rew... | [
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0.01785629242658615,
0.020... |
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