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 |
|---|---|---|---|---|---|---|---|
Ayoola/pytorch_model | [] | null | {
"architectures": null,
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"task_specific_params": {
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"num_beams... | 0 | 2023-03-15T14:30:01Z | ---
tags:
- autotrain
- vision
- image-classification
datasets:
- mouss/autotrain-data-bikes-ag
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
- ... | [
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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 | ---
language: pl
tags:
- T5
- lemmatization
license: apache-2.0
---
# PoLemma Small
PoLemma models are intended for lemmatization of named entities and multi-word expressions in the Polish language.
They were fine-tuned from the allegro/plT5 models, e.g.: [allegro/plt5-small](https://huggingface.co/allegro/plt5... | [
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Ayran/DialoGPT-small-gandalf | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"no_repeat_ngram_size... | 11 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: pixelcoper-v1_try2
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
me... | [
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Ayumi/Jovana | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: UchihaMadara/thesis-pretrained-3
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. -->
# U... | [
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0... |
AyushPJ/ai-club-inductions-21-nlp-ELECTRA-base-squad | [
"pytorch",
"electra",
"question-answering",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"ElectraForQuestionAnswering"
],
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},
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"no_re... | 12 | null | ---
language:
- uz
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
model-index:
- name: whisper-small-sv-test2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
sho... | [
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0.034... |
AyushPJ/ai-club-inductions-21-nlp-distilBERT | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"DistilBertForQuestionAnswering"
],
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... | 8 | null | ---
language: pl
tags:
- T5
- lemmatization
license: apache-2.0
---
# PoLemma Large
PoLemma models are intended for lemmatization of named entities and multi-word expressions in the Polish language.
They were fine-tuned from the allegro/plT5 models, e.g.: [allegro/plt5-large](https://huggingface.co/allegro/plt5... | [
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-0.030184313654899597,
0... |
AyushPJ/ai-club-inductions-21-nlp-roBERTa | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"RobertaForQuestionAnswering"
],
"model_type": "roberta",
"task_specific_params": {
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},
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"min_length": null,
"no_re... | 8 | null | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
pipeline_tag: text-to-image
--- | [
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... |
AyushPJ/test-squad-trained-finetuned-squad | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"DistilBertForQuestionAnswering"
],
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"task_specific_params": {
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"max_length": null
},
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"max_length": null,
"min_length": null,
... | 8 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: mean_rewa... | [
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0... |
Azaghast/DistilBART-SCP-ParaSummarization | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"BartForConditionalGeneration"
],
"model_type": "bart",
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},
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"early_stopping": true,
"length_penalty": 2,
"max_length": 142,
"min_length": 56,
"no_repeat_ngr... | 8 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2_reward_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. -->
# gpt2_reward_model
This ... | [
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0... |
Azaghast/GPT2-SCP-Descriptions | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 5 | 2023-03-15T14:56:20Z | ---
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: 7.50 +/- 2.74
... | [
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0... |
Azuris/DialoGPT-medium-senorita | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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},
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"no_repeat_ngram_size... | 14 | 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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... |
BJTK2/model_name | [] | null | {
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"num_beams... | 0 | null | ---
library_name: keras
---
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters ... | [
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... |
BSC-LT/roberta-base-bne-sqac | [
"pytorch",
"roberta",
"question-answering",
"es",
"dataset:BSC-TeMU/SQAC",
"arxiv:1907.11692",
"arxiv:2107.07253",
"transformers",
"national library of spain",
"spanish",
"bne",
"qa",
"question answering",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"RobertaForQuestionAnswering"
],
"model_type": "roberta",
"task_specific_params": {
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"max_length": null
},
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"max_length": null,
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"no_re... | 10 | 2023-03-15T15:34:45Z | ---
language:
- pl
- cs
- ru
tags:
- mT5
- lemmatization
license: apache-2.0
---
# SlavLemma Small
SlavLemma models are intended for lemmatization of named entities and multi-word expressions in Polish, Czech and Russian languages.
They were fine-tuned from the google/mT5 models, e.g.: [google/mt5-small]... | [
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0.0... |
BSC-LT/roberta-large-bne-sqac | [
"pytorch",
"roberta",
"question-answering",
"es",
"dataset:BSC-TeMU/SQAC",
"arxiv:1907.11692",
"arxiv:2107.07253",
"transformers",
"national library of spain",
"spanish",
"bne",
"qa",
"question answering",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"RobertaForQuestionAnswering"
],
"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_re... | 15 | null | # Vocabulary Trimmed [lmqg/mt5-small-koquad-qa](https://huggingface.co/lmqg/mt5-small-koquad-qa): `vocabtrimmer/mt5-small-koquad-qa-trimmed-ko-5000`
This model is a trimmed version of [lmqg/mt5-small-koquad-qa](https://huggingface.co/lmqg/mt5-small-koquad-qa) by [`vocabtrimmer`](https://github.com/asahi417/lm-vocab-tr... | [
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0.03910006955265999,
-0.007436574436724186,
-0.022251497954130173,
0.013168801553547382... |
BSen/wav2vec2-base-timit-demo-colab | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 4 | null | # Vocabulary Trimmed [lmqg/mt5-small-frquad-qa](https://huggingface.co/lmqg/mt5-small-frquad-qa): `vocabtrimmer/mt5-small-frquad-qa-trimmed-fr-5000`
This model is a trimmed version of [lmqg/mt5-small-frquad-qa](https://huggingface.co/lmqg/mt5-small-frquad-qa) by [`vocabtrimmer`](https://github.com/asahi417/lm-vocab-tr... | [
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0.... |
Bagus/SER-LSSED | [] | null | {
"architectures": null,
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},
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"num_beams... | 0 | null | # Vocabulary Trimmed [lmqg/mt5-small-jaquad-qa](https://huggingface.co/lmqg/mt5-small-jaquad-qa): `vocabtrimmer/mt5-small-jaquad-qa-trimmed-ja-10000`
This model is a trimmed version of [lmqg/mt5-small-jaquad-qa](https://huggingface.co/lmqg/mt5-small-jaquad-qa) by [`vocabtrimmer`](https://github.com/asahi417/lm-vocab-t... | [
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-0.003738414729014039,
-0.03801313042640686,
0.009822499938309193,
... |
Bagus/wav2vec2-xlsr-japanese-speech-emotion-recognition | [
"pytorch",
"wav2vec2",
"audio-classification",
"ja",
"dataset:jtes",
"transformers",
"audio",
"speech",
"speech-emotion-recognition",
"has_space"
] | audio-classification | {
"architectures": [
"HubertForSequenceClassification"
],
"model_type": "wav2vec2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"... | 26 | null | # Vocabulary Trimmed [lmqg/mt5-small-frquad-qa](https://huggingface.co/lmqg/mt5-small-frquad-qa): `vocabtrimmer/mt5-small-frquad-qa-trimmed-fr-10000`
This model is a trimmed version of [lmqg/mt5-small-frquad-qa](https://huggingface.co/lmqg/mt5-small-frquad-qa) by [`vocabtrimmer`](https://github.com/asahi417/lm-vocab-t... | [
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BatuhanYilmaz/bert-finetuned-ner | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- LunarLander-v2
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metr... | [
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0... |
BatuhanYilmaz/bert-finetuned-nerxD | [] | null | {
"architectures": null,
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"num_beams... | 0 | null | ---
language:
- ar
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small ar - Mohammed Nasri
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dat... | [
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BatuhanYilmaz/code-search-net-tokenizer1 | [] | null | {
"architectures": null,
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},
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"num_beams... | 0 | null | ---
language:
- bn
tags:
- audio
- automatic-speech-recognition
- hf-asr-leaderboard
# widget:
# - example_title: Librispeech sample 1
# src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
# - example_title: Librispeech sample 2
# src: https://cdn-media.huggingface.co/speech_samples/sample2.flac
mode... | [
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BatuhanYilmaz/dummy | [] | null | {
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"num_beams... | 0 | null | # Vocabulary Trimmed [lmqg/mt5-small-itquad-qa](https://huggingface.co/lmqg/mt5-small-itquad-qa): `vocabtrimmer/mt5-small-itquad-qa-trimmed-it-15000`
This model is a trimmed version of [lmqg/mt5-small-itquad-qa](https://huggingface.co/lmqg/mt5-small-itquad-qa) by [`vocabtrimmer`](https://github.com/asahi417/lm-vocab-t... | [
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Bee-Garbs/DialoGPT-real-cartman-small | [
"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,
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"min_length": null,
"no_repeat_ngram_size... | 10 | null | # Vocabulary Trimmed [lmqg/mt5-small-frquad-qa](https://huggingface.co/lmqg/mt5-small-frquad-qa): `vocabtrimmer/mt5-small-frquad-qa-trimmed-fr-120000`
This model is a trimmed version of [lmqg/mt5-small-frquad-qa](https://huggingface.co/lmqg/mt5-small-frquad-qa) by [`vocabtrimmer`](https://github.com/asahi417/lm-vocab-... | [
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... |
Beri/legal-qa | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"RobertaForQuestionAnswering"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
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"max_length": null,
"min_length": null,
"no_re... | 10 | null | # Vocabulary Trimmed [lmqg/mt5-small-koquad-qa](https://huggingface.co/lmqg/mt5-small-koquad-qa): `vocabtrimmer/mt5-small-koquad-qa-trimmed-ko-60000`
This model is a trimmed version of [lmqg/mt5-small-koquad-qa](https://huggingface.co/lmqg/mt5-small-koquad-qa) by [`vocabtrimmer`](https://github.com/asahi417/lm-vocab-t... | [
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... |
Berzemu/Coco | [] | null | {
"architectures": null,
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"num_beams... | 0 | null | # Vocabulary Trimmed [lmqg/mt5-small-esquad-qa](https://huggingface.co/lmqg/mt5-small-esquad-qa): `vocabtrimmer/mt5-small-esquad-qa-trimmed-es-90000`
This model is a trimmed version of [lmqg/mt5-small-esquad-qa](https://huggingface.co/lmqg/mt5-small-esquad-qa) by [`vocabtrimmer`](https://github.com/asahi417/lm-vocab-t... | [
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0.... |
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": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 10 | null | # Vocabulary Trimmed [lmqg/mt5-small-esquad-qa](https://huggingface.co/lmqg/mt5-small-esquad-qa): `vocabtrimmer/mt5-small-esquad-qa-trimmed-es-120000`
This model is a trimmed version of [lmqg/mt5-small-esquad-qa](https://huggingface.co/lmqg/mt5-small-esquad-qa) by [`vocabtrimmer`](https://github.com/asahi417/lm-vocab-... | [
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... |
Bharathdamu/wav2vec2-model-hindibhasha | [] | null | {
"architectures": null,
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"num_beams... | 0 | null | # Vocabulary Trimmed [lmqg/mt5-small-esquad-qa](https://huggingface.co/lmqg/mt5-small-esquad-qa): `vocabtrimmer/mt5-small-esquad-qa-trimmed-es-15000`
This model is a trimmed version of [lmqg/mt5-small-esquad-qa](https://huggingface.co/lmqg/mt5-small-esquad-qa) by [`vocabtrimmer`](https://github.com/asahi417/lm-vocab-t... | [
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0.0... |
Bia18/Beatriz | [] | null | {
"architectures": null,
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"task_specific_params": {
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},
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"num_beams... | 0 | null | # Vocabulary Trimmed [lmqg/mt5-small-ruquad-qa](https://huggingface.co/lmqg/mt5-small-ruquad-qa): `vocabtrimmer/mt5-small-ruquad-qa-trimmed-ru-60000`
This model is a trimmed version of [lmqg/mt5-small-ruquad-qa](https://huggingface.co/lmqg/mt5-small-ruquad-qa) by [`vocabtrimmer`](https://github.com/asahi417/lm-vocab-t... | [
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... |
BigSalmon/FormalBerta | [
"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... | 10 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split... | [
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0.010362029075622559,
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0.0447... |
BigSalmon/FormalRobertaaa | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
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},
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"min_length": null,
"no_repeat_ngra... | 12 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- billsum
metrics:
- rouge
model-index:
- name: bart-large-cnn-billsum
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: billsum
type: billsum
config: default
split... | [
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0.0305... |
BigSalmon/GPT2HardArticleEasyArticle | [
"pytorch",
"jax",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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},
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"min_length": null,
"no_repeat_ngram_size... | 7 | 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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0.00... |
BigSalmon/GPTNeo350MInformalToFormalLincoln | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat_ngram... | 8 | null | ---
license: mit
language:
- en
library_name: transformers
widget:
- text: ""
---
This is a BERTweet-base model that has been further pre-trained with preferential masking of emotion words for 100k steps on about 6.3M Vent posts.
This model is meant to be fine-tuned on labeled data or used as feature extractor for do... | [
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BigSalmon/GPTNeo350MInformalToFormalLincoln3 | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
"task_specific_params": {
"conversational": {
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},
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"no_repeat_ngram... | 10 | null | # Vocabulary Trimmed [lmqg/mt5-small-esquad-qa](https://huggingface.co/lmqg/mt5-small-esquad-qa): `vocabtrimmer/mt5-small-esquad-qa-trimmed-es-30000`
This model is a trimmed version of [lmqg/mt5-small-esquad-qa](https://huggingface.co/lmqg/mt5-small-esquad-qa) by [`vocabtrimmer`](https://github.com/asahi417/lm-vocab-t... | [
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0.0... |
BigSalmon/InformalToFormalLincoln15 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 11 | 2023-03-15T17:27:07Z | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt_reward_model_10000
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. -->
# gpt_reward_model_10... | [
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... |
BigSalmon/InformalToFormalLincoln16 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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},
"summarization": {
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"length_penalty": null,
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"min_length": null,
"no_repeat_ngram_size... | 8 | null | # Vocabulary Trimmed [lmqg/mt5-small-esquad-qa](https://huggingface.co/lmqg/mt5-small-esquad-qa): `vocabtrimmer/mt5-small-esquad-qa-trimmed-es-60000`
This model is a trimmed version of [lmqg/mt5-small-esquad-qa](https://huggingface.co/lmqg/mt5-small-esquad-qa) by [`vocabtrimmer`](https://github.com/asahi417/lm-vocab-t... | [
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0.0... |
BigSalmon/InformalToFormalLincoln17 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 12 | 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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... |
BigSalmon/InformalToFormalLincoln18 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"min_length": null,
"no_repeat_ngram_size... | 8 | null | ---
library_name: sample-factory
tags:
- deep-reinforcement-learning
- reinforcement-learning
- sample-factory
model-index:
- name: APPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: doom_health_gathering_supreme
type: doom_health_gathering_sup... | [
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BigSalmon/InformalToFormalLincoln21 | [
"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 | 2023-03-15T17:34:52Z | ---
language:
- en
tags:
- stable-diffusion
- text-to-image
license: bigscience-bloom-rail-1.0
inference: false
thumbnail: "https://imagedelivery.net/_wFNZAzgWNWPmneM1cyjcw/artifact/449d42a8-28c5-44da-afd7-28d7e29a264c/public"
---
# pony-diffusion-v4 - "same, but different" edition
pony-diffusion is a latent text-to-... | [
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BigSalmon/InformalToFormalLincolnDistilledGPT2 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 7 | null | ---
tags:
- LunarLander-v2
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metr... | [
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0.02... |
BigSalmon/Lincoln4 | [
"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... | 11 | null | ---
library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
... | [
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0.018220355734229088,
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0.06916191428899765,
0.02109733782708645,
0.0034917008597403765,
0.015280305407941341,
0.... |
BigSalmon/MrLincoln | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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},
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"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
library_name: sample-factory
tags:
- deep-reinforcement-learning
- reinforcement-learning
- sample-factory
model-index:
- name: APPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: doom_health_gathering_supreme
type: doom_health_gathering_sup... | [
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0.... |
BigSalmon/MrLincoln12 | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 9 | 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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0.024101532995700836,
0... |
BigSalmon/MrLincoln125MNeo | [
"pytorch",
"tensorboard",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram... | 12 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
config: plus
... | [
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-0.012929598800837994,
0.018105076625943184,
0... |
BigSalmon/MrLincoln14 | [] | null | {
"architectures": null,
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},
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"no_repeat_ngram_size": null,
"num_beams... | 0 | 2023-03-15T18:16:51Z | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | [
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0... |
BigSalmon/MrLincoln5 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
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"min_length": null,
"no_repeat_ngram_size... | 9 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.54 +/- 2.71
... | [
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0.011418554000556469,
... |
BigSalmon/MrLincoln6 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | null | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
- biology
- genomics
- single-cell
- model_cls_name:SCVI
- scvi_version:0.20.0
- anndata_version:0.8.0
- modality:rna
- tissue:Bladder
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model properties
M... | [
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0.0007506125257350504,
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0.03288736194372177,
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0.03121218830347061,
0.0... |
BigSalmon/MrLincoln7 | [] | null | {
"architectures": null,
"model_type": null,
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},
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"num_beams... | 0 | null | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
- biology
- genomics
- single-cell
- model_cls_name:SCANVI
- scvi_version:0.20.0
- anndata_version:0.8.0
- modality:rna
- tissue:Bladder
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model properties
... | [
-0.025607163086533546,
-0.06279250234365463,
0.005235639400780201,
0.020052069798111916,
0.038932476192712784,
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0.033662986010313034,
0.03949335217475891,
-0.005866028368473053,
0.03198694437742233,
0... |
BigSalmon/MrLincolnBerta | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
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"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 8 | null | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
- biology
- genomics
- single-cell
- model_cls_name:RNAStereoscope
- scvi_version:0.20.0b1
- anndata_version:0.8.0
- modality:rna
- tissue:Bladder
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model p... | [
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0.... |
BigSalmon/NEO125InformalToFormalLincoln | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
"task_specific_params": {
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},
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"min_length": null,
"no_repeat_ngram... | 8 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit... | [
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0.06156264618039131,
0.007751689292490482,
0.00011247552174609154,
0.010465320199728012,
... |
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 | null | ## Pretraining Without Attention(BiGS) <br>
## Official JAX Models with maximal sequence length 1024<br>
### [Paper](https://arxiv.org/abs/2212.10544) | [](https://huggingface.co/JunxiongWang) | [![Open In Colab](https://colab.re... | [
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0.03154350072145462,
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0.029491417109966278,
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0.04160456731915474,
0.019819196313619614,
-0.030095471069216728,
0.005291642155498266,
... |
BigSalmon/Points2 | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 12 | null | ## Pretraining Without Attention(BiGS) <br>
## Official JAX Models with maximal sequence length 4096<br>
### [Paper](https://arxiv.org/abs/2212.10544) | [](https://huggingface.co/JunxiongWang) | [![Open In Colab](https://colab.re... | [
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0.04049161821603775,
0.0201254915446043,
-0.03157088905572891,
0.0042871469631791115,
0.05... |
BigSalmon/Robertsy | [
"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... | 4 | null | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
- biology
- genomics
- single-cell
- model_cls_name:SCVI
- scvi_version:0.20.0
- anndata_version:0.8.0
- modality:rna
- tissue:Bone_Marrow
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model propertie... | [
-0.02837032824754715,
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0.0030576027929782867,
0.015380746684968472,
0.037837766110897064,
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0.03273399919271469,
0.0381271131336689,
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0.024004679173231125,
0... |
Bimal/my_bot_model | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"no_repeat_ngram_size... | 10 | null | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
- biology
- genomics
- single-cell
- model_cls_name:RNAStereoscope
- scvi_version:0.20.0b1
- anndata_version:0.8.0
- modality:rna
- tissue:Fat
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model prope... | [
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0.022145159542560577,
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Biniam/en_ti_translate | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"translation",
"autotrain_compatible"
] | translation | {
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],
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"no_repeat_ngram_size... | 14 | null | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
- biology
- genomics
- single-cell
- model_cls_name:SCANVI
- scvi_version:0.20.0
- anndata_version:0.8.0
- modality:rna
- tissue:Heart
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model properties
M... | [
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BinksSachary/ShaxxBot | [
"pytorch",
"gpt2",
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"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 9 | null | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
- biology
- genomics
- single-cell
- model_cls_name:RNAStereoscope
- scvi_version:0.20.0b1
- anndata_version:0.8.0
- modality:rna
- tissue:Heart
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model pro... | [
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BitanBiswas/mbert-bengali-ner-finetuned-ner | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
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"no_repeat... | 4 | 2023-03-15T19:15:32Z | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
- biology
- genomics
- single-cell
- model_cls_name:SCANVI
- scvi_version:0.20.0
- anndata_version:0.8.0
- modality:rna
- tissue:Large_Intestine
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model pro... | [
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0.0... |
Blackmist786/DialoGPt-small-transformers4 | [
"pytorch"
] | null | {
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"num_beams... | 4 | null | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
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- scvi_version:0.20.0b1
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- modality:rna
- tissue:Large_Intestine
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
#... | [
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0.060... |
Blazeolmo/Scrabunzi | [] | null | {
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"num_beams... | 0 | null | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
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- modality:rna
- tissue:Liver
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model properties
M... | [
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Blerrrry/Kkk | [] | null | {
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"num_beams... | 0 | null | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
- biology
- genomics
- single-cell
- model_cls_name:CondSCVI
- scvi_version:0.20.0b1
- anndata_version:0.8.0
- modality:rna
- tissue:Liver
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model propertie... | [
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BlightZz/DialoGPT-medium-Kurisu | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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],
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"no_repeat_ngram_size... | 19 | 2023-03-15T19:17:33Z | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
- biology
- genomics
- single-cell
- model_cls_name:RNAStereoscope
- scvi_version:0.20.0b1
- anndata_version:0.8.0
- modality:rna
- tissue:Liver
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model pro... | [
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BlindMan820/Sarcastic-News-Headlines | [
"pytorch",
"distilbert",
"text-classification",
"English",
"dataset:Kaggle Dataset",
"transformers",
"Text",
"Sequence-Classification",
"Sarcasm",
"DistilBert"
] | text-classification | {
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],
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... | 28 | null | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
- biology
- genomics
- single-cell
- model_cls_name:SCVI
- scvi_version:0.20.0
- anndata_version:0.8.0
- modality:rna
- tissue:Lung
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model properties
Many... | [
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Bloodwarrior/Chikfalay | [] | null | {
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"num_beams... | 0 | null | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
- biology
- genomics
- single-cell
- model_cls_name:SCANVI
- scvi_version:0.20.0
- anndata_version:0.8.0
- modality:rna
- tissue:Lung
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model properties
Ma... | [
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0.0488... |
BlueGamerBeast/DialoGPT-small-Morgana | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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],
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"no_repeat_ngram_size... | 12 | null | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
- biology
- genomics
- single-cell
- model_cls_name:CondSCVI
- scvi_version:0.20.0b1
- anndata_version:0.8.0
- modality:rna
- tissue:Lung
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model properties... | [
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0.0... |
BobBraico/bert-finetuned-ner | [] | null | {
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"num_beams... | 0 | null | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
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- model_cls_name:SCANVI
- scvi_version:0.20.0
- anndata_version:0.8.0
- modality:rna
- tissue:Lymph_Node
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model properti... | [
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BogdanKuloren/continual-learning-paper-embeddings-model | [
"pytorch",
"mpnet",
"feature-extraction",
"transformers"
] | feature-extraction | {
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"MPNetModel"
],
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"no_repeat_ngram_size": n... | 11 | null | ---
library_name: ml-agents
tags:
- SnowballTarget
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech... | [
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Branex/gpt-neo-2.7B | [] | null | {
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"num_beams... | 0 | null | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
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- model_cls_name:SCANVI
- scvi_version:0.20.0
- anndata_version:0.8.0
- modality:rna
- tissue:Muscle
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model properties
... | [
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Brayan/CNN_Brain_Tumor | [] | null | {
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"num_beams... | 0 | null | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
- biology
- genomics
- single-cell
- model_cls_name:CondSCVI
- scvi_version:0.20.0b1
- anndata_version:0.8.0
- modality:rna
- tissue:Muscle
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model properti... | [
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Brendan/cse244b-hw2-roberta | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | {
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"RobertaForSequenceClassification"
],
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"... | 28 | null | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
- biology
- genomics
- single-cell
- model_cls_name:RNAStereoscope
- scvi_version:0.20.0b1
- anndata_version:0.8.0
- modality:rna
- tissue:Muscle
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model pr... | [
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Brinah/1 | [] | null | {
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"num_beams... | 0 | null | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
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- genomics
- single-cell
- model_cls_name:SCVI
- scvi_version:0.20.0
- anndata_version:0.8.0
- modality:rna
- tissue:Pancreas
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model properties
... | [
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0.... |
Broadus20/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"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... | 9 | null | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
- biology
- genomics
- single-cell
- model_cls_name:CondSCVI
- scvi_version:0.20.0b1
- anndata_version:0.8.0
- modality:rna
- tissue:Pancreas
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model proper... | [
-0.028354350477457047,
-0.0501905232667923,
-0.012650782242417336,
0.026022758334875107,
0.018040640279650688,
0.006574565544724464,
-0.033488679677248,
-0.016678912565112114,
-0.010660807602107525,
0.032030340284109116,
0.016690026968717575,
-0.00446698535233736,
0.029450450092554092,
0.0... |
Broadus20/DialoGPT-small-joshua | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 12 | null | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
- biology
- genomics
- single-cell
- model_cls_name:RNAStereoscope
- scvi_version:0.20.0b1
- anndata_version:0.8.0
- modality:rna
- tissue:Pancreas
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model ... | [
-0.03056579828262329,
-0.051000114530324936,
-0.007831238210201263,
0.028966542333364487,
0.024829283356666565,
0.010358983650803566,
-0.03380821645259857,
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-0.0122035201638937,
0.03212772682309151,
0.013924523256719112,
-0.0049127875827252865,
0.024049868807196617,
0... |
Brona/poc_de | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
- biology
- genomics
- single-cell
- model_cls_name:SCANVI
- scvi_version:0.20.0
- anndata_version:0.8.0
- modality:rna
- tissue:Prostate
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model properties... | [
-0.01946754939854145,
-0.06012134999036789,
0.007662480231374502,
0.018450526520609856,
0.038884103298187256,
0.008958030492067337,
-0.026714270934462547,
-0.019559470936655998,
-0.02496914006769657,
0.028234440833330154,
0.03478793427348137,
-0.008267926052212715,
0.027680613100528717,
0.... |
BrunoNogueira/DialoGPT-kungfupanda | [
"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 | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.037388190627098083,
-0.0022324216552078724,
-0.004949699155986309,
0.025373825803399086,
0.04555283486843109,
-0.02122199349105358,
-0.0063771833665668964,
-0.027382278814911842,
-0.0333731435239315,
0.06656014174222946,
0.03174152970314026,
-0.023582162335515022,
0.02284141443669796,
0... |
Brunomezenga/NN | [] | null | {
"architectures": null,
"model_type": null,
"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": null,
"num_beams... | 0 | null | # Vocabulary Trimmed [cardiffnlp/xlm-roberta-base-tweet-sentiment-fr](https://huggingface.co/cardiffnlp/xlm-roberta-base-tweet-sentiment-fr): `vocabtrimmer/xlm-roberta-base-tweet-sentiment-fr-trimmed-fr-10000`
This model is a trimmed version of [cardiffnlp/xlm-roberta-base-tweet-sentiment-fr](https://huggingface.co/ca... | [
-0.015874354168772697,
-0.013756598345935345,
-0.021568909287452698,
0.025309499353170395,
0.021689342334866524,
0.03047896921634674,
-0.013100682757794857,
-0.006983441300690174,
-0.048619113862514496,
0.0466650165617466,
0.009765886701643467,
-0.03932475298643112,
-0.0044776275753974915,
... |
Brykee/DialoGPT-medium-Morty | [
"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 | # Vocabulary Trimmed [cardiffnlp/xlm-roberta-base-tweet-sentiment-fr](https://huggingface.co/cardiffnlp/xlm-roberta-base-tweet-sentiment-fr): `vocabtrimmer/xlm-roberta-base-tweet-sentiment-fr-trimmed-fr-15000`
This model is a trimmed version of [cardiffnlp/xlm-roberta-base-tweet-sentiment-fr](https://huggingface.co/ca... | [
-0.01608794927597046,
-0.013743817806243896,
-0.021488921716809273,
0.024982569739222527,
0.02190425433218479,
0.03024952858686447,
-0.013167517259716988,
-0.0068246652372181416,
-0.04843828082084656,
0.04656387120485306,
0.009496990591287613,
-0.039368994534015656,
-0.004684193059802055,
... |
Bubb-les/DisloGPT-medium-HarryPotter | [
"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 | # Vocabulary Trimmed [cardiffnlp/xlm-roberta-base-tweet-sentiment-fr](https://huggingface.co/cardiffnlp/xlm-roberta-base-tweet-sentiment-fr): `vocabtrimmer/xlm-roberta-base-tweet-sentiment-fr-trimmed-fr-30000`
This model is a trimmed version of [cardiffnlp/xlm-roberta-base-tweet-sentiment-fr](https://huggingface.co/ca... | [
-0.01636936143040657,
-0.014031151309609413,
-0.02230106294155121,
0.024804530665278435,
0.021562015637755394,
0.030425650998950005,
-0.012869888916611671,
-0.006091578863561153,
-0.04792046919465065,
0.046046920120716095,
0.009349382482469082,
-0.03942044824361801,
-0.004571808502078056,
... |
CAMeL-Lab/bert-base-arabic-camelbert-ca-sentiment | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 73 | null | # Vocabulary Trimmed [cardiffnlp/xlm-roberta-base-tweet-sentiment-fr](https://huggingface.co/cardiffnlp/xlm-roberta-base-tweet-sentiment-fr): `vocabtrimmer/xlm-roberta-base-tweet-sentiment-fr-trimmed-fr-60000`
This model is a trimmed version of [cardiffnlp/xlm-roberta-base-tweet-sentiment-fr](https://huggingface.co/ca... | [
-0.015725569799542427,
-0.01378727424889803,
-0.02204587310552597,
0.025024084374308586,
0.021839193999767303,
0.03049338236451149,
-0.012871009297668934,
-0.0061113266274333,
-0.04808952286839485,
0.04612412303686142,
0.009758655913174152,
-0.039533812552690506,
-0.004763416945934296,
0.0... |
CAMeL-Lab/bert-base-arabic-camelbert-da-poetry | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:1905.05700",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 37 | null | ---
library_name: ml-agents
tags:
- SnowballTarget
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech... | [
-0.029989484697580338,
-0.004891239106655121,
-0.017898201942443848,
0.051920123398303986,
0.03566555306315422,
0.026372333988547325,
-0.0011068148305639625,
-0.03461799770593643,
-0.025463983416557312,
0.04648101329803467,
0.02655019424855709,
-0.009048357605934143,
0.019106227904558182,
... |
CAMeL-Lab/bert-base-arabic-camelbert-da-pos-glf | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"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... | 54 | 2023-03-15T19:55:31Z | # Vocabulary Trimmed [cardiffnlp/xlm-roberta-base-tweet-sentiment-pt](https://huggingface.co/cardiffnlp/xlm-roberta-base-tweet-sentiment-pt): `vocabtrimmer/xlm-roberta-base-tweet-sentiment-pt-trimmed-pt-5000`
This model is a trimmed version of [cardiffnlp/xlm-roberta-base-tweet-sentiment-pt](https://huggingface.co/car... | [
-0.01885065995156765,
-0.010535885579884052,
-0.019592678174376488,
0.02614269033074379,
0.022459259256720543,
0.03414880111813545,
-0.007649385370314121,
-0.004772976040840149,
-0.04775651544332504,
0.04609847813844681,
0.007936759851872921,
-0.043045710772275925,
-0.0001512603193987161,
... |
CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"has_space"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 19,850 | null | # Vocabulary Trimmed [cardiffnlp/xlm-roberta-base-tweet-sentiment-pt](https://huggingface.co/cardiffnlp/xlm-roberta-base-tweet-sentiment-pt): `vocabtrimmer/xlm-roberta-base-tweet-sentiment-pt-trimmed-pt-10000`
This model is a trimmed version of [cardiffnlp/xlm-roberta-base-tweet-sentiment-pt](https://huggingface.co/ca... | [
-0.018584342673420906,
-0.011473276652395725,
-0.01859206333756447,
0.027533046901226044,
0.023083172738552094,
0.03388829901814461,
-0.007392396684736013,
-0.005250980611890554,
-0.04858899489045143,
0.046640511602163315,
0.008868490345776081,
-0.042422324419021606,
-0.000166474943398498,
... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus26 | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 45 | null | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | [
-0.05060812458395958,
0.0008602261659689248,
-0.005263722036033869,
0.05167556554079056,
0.025355471298098564,
0.031331419944763184,
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0.050452057272195816,
0.022921189665794373,
-0.012457422912120819,
0.009286089800298214,
... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-nadi | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 63 | null | # Vocabulary Trimmed [cardiffnlp/xlm-roberta-base-tweet-sentiment-pt](https://huggingface.co/cardiffnlp/xlm-roberta-base-tweet-sentiment-pt): `vocabtrimmer/xlm-roberta-base-tweet-sentiment-pt-trimmed-pt-30000`
This model is a trimmed version of [cardiffnlp/xlm-roberta-base-tweet-sentiment-pt](https://huggingface.co/ca... | [
-0.018854040652513504,
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0.045960456132888794,
0.008999219164252281,
-0.04253970459103584,
-0.00032096257200464606,
... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-poetry | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:1905.05700",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 31 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.03762321174144745,
-0.0033156455028802156,
-0.004781654570251703,
0.025730984285473824,
0.044958971440792084,
-0.021210884675383568,
-0.0058831823989748955,
-0.02761257253587246,
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0.06655304878950119,
0.03192141652107239,
-0.023485062643885612,
0.02294074185192585,
... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-glf | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"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... | 132 | 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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0.053574737161397934,
0.017505589872598648,
-0.006315906066447496,
0.010511888191103935,... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 855 | null | ---
license: gpl-3.0
---
Trained on dataset consisting of every voice line from takeo on the Black Ops 3 map "The Giant". | [
-0.03869536519050598,
-0.011509545147418976,
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0.024228662252426147,
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0.050362296402454376,
0.06004811078310013,
0.0021270038560032845,
0.028252040967345238,
0.029... |
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 | {
"architectures": [
"BertForMaskedLM"
],
"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... | 20,880 | null | # Vocabulary Trimmed [cardiffnlp/xlm-roberta-base-tweet-sentiment-ar](https://huggingface.co/cardiffnlp/xlm-roberta-base-tweet-sentiment-ar): `vocabtrimmer/xlm-roberta-base-tweet-sentiment-ar-trimmed-ar-5000`
This model is a trimmed version of [cardiffnlp/xlm-roberta-base-tweet-sentiment-ar](https://huggingface.co/car... | [
-0.02321203425526619,
-0.012916769832372665,
-0.01984184980392456,
0.028244340792298317,
0.024376830086112022,
0.030913351103663445,
-0.01056655589491129,
-0.005660999100655317,
-0.048816852271556854,
0.0479169525206089,
0.010024403221905231,
-0.03830873593688011,
-0.0034737661480903625,
0... |
CAMeL-Lab/bert-base-arabic-camelbert-msa-ner | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"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... | 229 | null | # Vocabulary Trimmed [cardiffnlp/xlm-roberta-base-tweet-sentiment-ar](https://huggingface.co/cardiffnlp/xlm-roberta-base-tweet-sentiment-ar): `vocabtrimmer/xlm-roberta-base-tweet-sentiment-ar-trimmed-ar-15000`
This model is a trimmed version of [cardiffnlp/xlm-roberta-base-tweet-sentiment-ar](https://huggingface.co/ca... | [
-0.0233733132481575,
-0.013721687719225883,
-0.01902829483151436,
0.029603421688079834,
0.025434179231524467,
0.0307170283049345,
-0.010589894838631153,
-0.0057957530952990055,
-0.04924856871366501,
0.048526208847761154,
0.010774989612400532,
-0.03866881504654884,
-0.0034538847394287586,
0... |
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"
],
"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... | 52 | null | # Vocabulary Trimmed [cardiffnlp/xlm-roberta-base-tweet-sentiment-ar](https://huggingface.co/cardiffnlp/xlm-roberta-base-tweet-sentiment-ar): `vocabtrimmer/xlm-roberta-base-tweet-sentiment-ar-trimmed-ar-30000`
This model is a trimmed version of [cardiffnlp/xlm-roberta-base-tweet-sentiment-ar](https://huggingface.co/ca... | [
-0.023242443799972534,
-0.014054732397198677,
-0.020077243447303772,
0.02938806638121605,
0.025414738804101944,
0.03117317706346512,
-0.010436035692691803,
-0.005383433308452368,
-0.04879070818424225,
0.047829050570726395,
0.011347639374434948,
-0.03875187784433365,
-0.0035366653464734554,
... |
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"
],
"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... | 133 | null | # Vocabulary Trimmed [lmqg/mbart-large-cc25-jaquad-qg](https://huggingface.co/lmqg/mbart-large-cc25-jaquad-qg): `vocabtrimmer/mbart-large-cc25-jaquad-qg-trimmed-ja`
This model is a trimmed version of [lmqg/mbart-large-cc25-jaquad-qg](https://huggingface.co/lmqg/mbart-large-cc25-jaquad-qg) by [`vocabtrimmer`](https://g... | [
-0.01647206023335457,
-0.01991477608680725,
-0.02308466285467148,
0.04047529026865959,
0.0212999377399683,
-0.00514264078810811,
-0.0039364551194012165,
0.0038599027320742607,
-0.03272940218448639,
0.03589677810668945,
0.004401893820613623,
-0.03236481919884682,
0.02195938490331173,
0.0720... |
CAMeL-Lab/bert-base-arabic-camelbert-msa-quarter | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"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... | 12 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
-0.039098650217056274,
-0.015708131715655327,
-0.014742114581167698,
0.036665305495262146,
0.04850038141012192,
-0.006153293419629335,
-0.013790173456072807,
-0.025195227935910225,
-0.03137096390128136,
0.05453356355428696,
0.023037780076265335,
-0.0324590802192688,
0.019201749935746193,
0... |
CAMeL-Lab/bert-base-arabic-camelbert-msa | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"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... | 2,967 | null | # Vocabulary Trimmed [cardiffnlp/xlm-roberta-base-tweet-sentiment-it](https://huggingface.co/cardiffnlp/xlm-roberta-base-tweet-sentiment-it): `vocabtrimmer/xlm-roberta-base-tweet-sentiment-it-trimmed-it-5000`
This model is a trimmed version of [cardiffnlp/xlm-roberta-base-tweet-sentiment-it](https://huggingface.co/car... | [
-0.018971212208271027,
-0.01064101979136467,
-0.019782517105340958,
0.021160626783967018,
0.023214517161250114,
0.03264840319752693,
-0.007011922542005777,
-0.005921202711760998,
-0.04843800514936447,
0.0464165136218071,
0.012574783526360989,
-0.037188053131103516,
0.000773135747294873,
0.... |
CAUKiel/JavaBERT-uncased | [
"pytorch",
"safetensors",
"bert",
"fill-mask",
"java",
"code",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"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... | 7 | null | ---
library_name: ml-agents
tags:
- Huggy
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (... | [
-0.04099838435649872,
-0.002345121232792735,
-0.005995605606585741,
0.0465526208281517,
0.024041064083576202,
0.020359674468636513,
-0.024747192859649658,
-0.03177422657608986,
-0.004003014415502548,
0.04896555840969086,
0.02004910074174404,
-0.014427069574594498,
0.018314041197299957,
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"
],
"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... | 388 | null | # Vocabulary Trimmed [lmqg/mbart-large-cc25-koquad-qg](https://huggingface.co/lmqg/mbart-large-cc25-koquad-qg): `vocabtrimmer/mbart-large-cc25-koquad-qg-trimmed-ko`
This model is a trimmed version of [lmqg/mbart-large-cc25-koquad-qg](https://huggingface.co/lmqg/mbart-large-cc25-koquad-qg) by [`vocabtrimmer`](https://g... | [
-0.01862691529095173,
-0.01861531473696232,
-0.015329086221754551,
0.033992964774370193,
0.01954544149339199,
-0.005677293054759502,
-0.005444691050797701,
0.006319244392216206,
-0.040333040058612823,
0.0402674525976181,
0.004500355571508408,
-0.01860770396888256,
0.023598775267601013,
0.0... |
CLAck/en-km | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"translation",
"autotrain_compatible"
] | translation | {
"architectures": [
"MarianMTModel"
],
"model_type": "marian",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 12 | null | # Vocabulary Trimmed [cardiffnlp/xlm-roberta-base-tweet-sentiment-it](https://huggingface.co/cardiffnlp/xlm-roberta-base-tweet-sentiment-it): `vocabtrimmer/xlm-roberta-base-tweet-sentiment-it-trimmed-it-15000`
This model is a trimmed version of [cardiffnlp/xlm-roberta-base-tweet-sentiment-it](https://huggingface.co/ca... | [
-0.01927403174340725,
-0.011293905787169933,
-0.01891222968697548,
0.02265411615371704,
0.02402169443666935,
0.03225461393594742,
-0.007107523735612631,
-0.0060626305639743805,
-0.049032606184482574,
0.04704907909035683,
0.013009671121835709,
-0.03756846860051155,
0.0003446808841545135,
0.... |
CLAck/en-vi | [
"pytorch",
"marian",
"text2text-generation",
"en",
"vi",
"dataset:ALT",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | {
"architectures": [
"MarianMTModel"
],
"model_type": "marian",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 8 | null | # Vocabulary Trimmed [cardiffnlp/xlm-roberta-base-tweet-sentiment-it](https://huggingface.co/cardiffnlp/xlm-roberta-base-tweet-sentiment-it): `vocabtrimmer/xlm-roberta-base-tweet-sentiment-it-trimmed-it-30000`
This model is a trimmed version of [cardiffnlp/xlm-roberta-base-tweet-sentiment-it](https://huggingface.co/ca... | [
-0.019332634285092354,
-0.011473214253783226,
-0.019991816952824593,
0.022286947816610336,
0.023696167394518852,
0.03246278688311577,
-0.006800955627113581,
-0.005579866003245115,
-0.04867326468229294,
0.04649034142494202,
0.013290190137922764,
-0.03756256029009819,
0.0005286248633638024,
... |
CLEE/CLEE | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
library_name: sample-factory
tags:
- deep-reinforcement-learning
- reinforcement-learning
- sample-factory
model-index:
- name: APPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: doom_health_gathering_supreme
type: doom_health_gathering_sup... | [
-0.043639037758111954,
-0.0031349544879049063,
0.011500188149511814,
0.03796398267149925,
0.025172794237732887,
-0.011027820408344269,
-0.01186622865498066,
-0.026336753740906715,
-0.038301367312669754,
0.05576727166771889,
0.0362514965236187,
0.0009375662775710225,
0.018916796892881393,
0... |
CLTL/MedRoBERTa.nl | [
"pytorch",
"roberta",
"fill-mask",
"nl",
"transformers",
"license:mit",
"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... | 2,988 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
### arki-20230315-2300-analog-3000-steps on Stable Diffusion via Dreambooth
#### model by NickKolok
This your the Stable Diffusion model fine-tuned the arki-20230315-2300-analog-3000-steps concept taught to Stable Diffusion with Dreambooth.
#It can ... | [
-0.04515616595745087,
-0.011349361389875412,
-0.025860201567411423,
0.013785338960587978,
0.028815213590860367,
0.009366657584905624,
-0.0006776246591471136,
-0.0034146883990615606,
-0.027619564905762672,
0.04710615798830986,
0.027393663302063942,
0.008775105699896812,
-0.018386073410511017,... |
CLTL/icf-levels-att | [
"pytorch",
"roberta",
"text-classification",
"nl",
"transformers",
"license:mit"
] | 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,
"... | 32 | 2023-03-15T21:23:59Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- khyleri-s-style
---
### khyleri's style Dreambooth model trained by Anonim3327 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the ... | [
-0.02837594971060753,
-0.017901696264743805,
-0.023040708154439926,
0.03330365940928459,
0.0397944301366806,
0.007695783860981464,
0.011297931894659996,
0.009430735372006893,
-0.0222502201795578,
0.02763967588543892,
0.02934504859149456,
-0.0005974382511340082,
-0.0071717179380357265,
0.03... |
CLTL/icf-levels-mbw | [
"pytorch",
"roberta",
"text-classification",
"nl",
"transformers",
"license:mit"
] | 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,
"... | 30 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: token_fine_tunned_flipkart_2_gl11
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and c... | [
-0.01396327093243599,
-0.004547106102108955,
0.0005484411958605051,
0.008281159214675426,
0.022631356492638588,
0.00714200921356678,
-0.007868202403187752,
0.011988092213869095,
-0.030401432886719704,
0.06551220268011093,
0.0350407250225544,
-0.03185981512069702,
0.0215976033359766,
0.0223... |
Calamarii/calamari | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
- biology
- genomics
- single-cell
- model_cls_name:CondSCVI
- scvi_version:0.20.0b1
- anndata_version:0.8.0
- modality:rna
- tissue:Skin
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model properties... | [
-0.02543918788433075,
-0.05032317712903023,
-0.0025856737047433853,
0.020662296563386917,
0.021300142630934715,
0.008297214284539223,
-0.04023077338933945,
-0.015401443466544151,
-0.012664723210036755,
0.0349639467895031,
0.015072586014866829,
-0.00022717508545611054,
0.027768300846219063,
... |
Cameron/BERT-SBIC-targetcategory | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 30 | null | ---
license: cc-by-4.0
library_name: scvi-tools
tags:
- biology
- genomics
- single-cell
- model_cls_name:SCANVI
- scvi_version:0.20.0
- anndata_version:0.8.0
- modality:rna
- tissue:Small_Intestine
- annotated:True
---
# Description
Tabula sapiens. An across organ dataset of cell-types in human tissues.
# Model pro... | [
-0.024282380938529968,
-0.06210394948720932,
0.0028401410672813654,
0.0200726967304945,
0.03463359922170639,
0.006468856707215309,
-0.029340403154492378,
-0.0169823095202446,
-0.016448678448796272,
0.03393293917179108,
0.04244353994727135,
-0.007736316882073879,
0.031250108033418655,
0.049... |
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