modelId stringlengths 4 111 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringlengths 5 30 ⌀ | author stringlengths 2 34 ⌀ | config null | securityStatus null | id stringlengths 4 111 | likes int64 0 9.53k | downloads int64 2 73.6M | library_name stringlengths 2 84 ⌀ | created timestamp[us] | card stringlengths 101 901k | card_len int64 101 901k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
biglam/autotrain-beyond-the-books | 2023-06-26T12:27:32.000Z | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"bert",
"text-classification",
"autotrain",
"lam",
"en",
"dataset:biglam/on_the_books",
"license:mit",
"co2_eq_emissions",
"endpoints_compatible",
"region:us"
] | text-classification | biglam | null | null | biglam/autotrain-beyond-the-books | 0 | 2 | transformers | 2023-06-07T09:59:47 | ---
tags:
- autotrain
- text-classification
- lam
language:
- en
widget:
- text: >-
Neither this act nor any other act relating to said Cherokee Indians of
Robeson County shall be construed so as to impose on said Indians any
powers, privileges, rights or immunities, or
- text: >-
That Section one hundr... | 2,149 | [
[
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-0.01041412353515625,
0.014068603515625,
-0.032196044921875,
0.01110076904296875,
0.02813720703125,
-0.0296173095703125,
-0.045440673828125,
-0.050872802734... |
mariabashkeva/digits | 2023-06-07T11:26:09.000Z | [
"keras",
"region:us"
] | null | mariabashkeva | null | null | mariabashkeva/digits | 0 | 2 | keras | 2023-06-07T11:07:38 | ---
library_name: keras
---
# Модель для распознования цифр
Натренерованина на наборе данных mnist
 | 114 | [
[
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0.068359375,
0.0236663818359375,
-0.0282440185546875,
-0.051177978515625,
-0.0462646484375,
-0.01... |
olgachertash/digits | 2023-06-07T13:06:48.000Z | [
"keras",
"region:us"
] | null | olgachertash | null | null | olgachertash/digits | 0 | 2 | keras | 2023-06-07T13:01:35 | ---
library_name: keras
---
# Модель для распознования цифр
Натренерованина на наборе данных mnist
 | 114 | [
[
-0.0114898681640625,
-0.0592041015625,
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0.003330230712890625,
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0.0273284912109375,
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0.068359375,
0.0236663818359375,
-0.0282440185546875,
-0.051177978515625,
-0.0462646484375,
-0.01... |
EducativeCS2023/roberta-similarity | 2023-06-07T13:31:43.000Z | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | EducativeCS2023 | null | null | EducativeCS2023/roberta-similarity | 0 | 2 | transformers | 2023-06-07T13:20:52 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-similarity
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. -->
# rob... | 3,154 | [
[
-0.039215087890625,
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0.016998291015625,
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0.038604736328125,
0.0222320556640625,
-0.050994873046875,
-0.04931640625,
-0.05267333984375,
... |
sashatoropova/digits | 2023-06-07T14:11:08.000Z | [
"keras",
"region:us"
] | null | sashatoropova | null | null | sashatoropova/digits | 0 | 2 | keras | 2023-06-07T14:07:48 | ---
library_name: keras
---
# Модель для распознования цифр
Натренерованина на наборе данных mnist
 | 114 | [
[
-0.0114898681640625,
-0.0592041015625,
0.01163482666015625,
0.003330230712890625,
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0.037445068359375,
0.0273284912109375,
0.0172576904296875,
0.068359375,
0.0236663818359375,
-0.0282440185546875,
-0.051177978515625,
-0.0462646484375,
-0.01... |
cafbr/bert-simililarity-hist | 2023-06-07T15:22:40.000Z | [
"keras",
"region:us"
] | null | cafbr | null | null | cafbr/bert-simililarity-hist | 0 | 2 | keras | 2023-06-07T15:20:18 | ---
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 ... | 738 | [
[
-0.038055419921875,
-0.0411376953125,
0.0288848876953125,
0.005496978759765625,
-0.033966064453125,
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0.0011091232299804688,
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0.0232696533203125,
0.021636962890625,
-0.044891357421875,
-0.048980712890625,
-0.034118652343... |
saruizn/trabajo | 2023-06-07T16:18:03.000Z | [
"keras",
"has_space",
"region:us"
] | null | saruizn | null | null | saruizn/trabajo | 0 | 2 | keras | 2023-06-07T15:42:29 | ---
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 ... | 840 | [
[
-0.03759765625,
-0.0401611328125,
0.0321044921875,
0.007656097412109375,
-0.0433349609375,
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0.01090240478515625,
-0.0037326812744140625,
0.020172119140625,
0.0307464599609375,
-0.043670654296875,
-0.051025390625,
-0.039306640625,
0.0002460... |
saruizn/modelo | 2023-06-07T15:57:55.000Z | [
"keras",
"region:us"
] | null | saruizn | null | null | saruizn/modelo | 0 | 2 | keras | 2023-06-07T15:57:50 | ---
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 ... | 840 | [
[
-0.03759765625,
-0.0401611328125,
0.0321044921875,
0.007656097412109375,
-0.0433349609375,
-0.017974853515625,
0.01090240478515625,
-0.0037326812744140625,
0.020172119140625,
0.0307464599609375,
-0.043670654296875,
-0.051025390625,
-0.039306640625,
0.0002460... |
allenai/open-instruct-oasst1-7b | 2023-06-20T17:44:05.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:OpenAssistant/oasst1",
"arxiv:2306.04751",
"arxiv:2302.13971",
"arxiv:2304.07327",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | allenai | null | null | allenai/open-instruct-oasst1-7b | 0 | 2 | transformers | 2023-06-07T17:04:11 | ---
datasets:
- OpenAssistant/oasst1
language:
- en
---
# Open-Instruct Open Assistant 7B
This model is a 7B LLaMa model finetuned on the Open Assistant dataset. *Please note this is a model diff - see below for usage instructions*.
This was trained as part of the paper [How Far Can Camels Go? Exploring the State of... | 4,131 | [
[
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-0.042724609375,
0.0073394775390625,
0.00492095947265625,
-0.00904083251953125,
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-0.0251617431640625,
-0.0290985107421875,
-0.01032257080078125,
0.03240966796875,
-0.040985107421875,
-0.042938232421875,
-0.044921875,
... |
allenai/open-instruct-cot-7b | 2023-06-20T17:45:42.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"arxiv:2306.04751",
"arxiv:2302.13971",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | allenai | null | null | allenai/open-instruct-cot-7b | 0 | 2 | transformers | 2023-06-07T17:05:59 | ---
language:
- en
---
# Open-Instruct CoT 7B
This model is a 7B LLaMa model finetuned on the CoT dataset (a subset of Flan v2). *Please note this is a model diff - see below for usage instructions*.
This was trained as part of the paper [How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resou... | 3,871 | [
[
-0.02960205078125,
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0.0293731689453125,
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-0.041656494140625,
-0.0449523925781... |
Dantenator/dqn-SpaceInvadersNoFrameskip-v4 | 2023-06-07T19:58:07.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | Dantenator | null | null | Dantenator/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-06-07T19:57:34 | ---
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
... | 2,765 | [
[
-0.044189453125,
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0.022918701171875,
-0.0716552734375,
-0.0362548828125,
-0.0248260498046875,
-0.0030364990... |
michaelfeil/ct2fast-RedPajama-INCITE-7B-Chat | 2023-06-07T20:39:16.000Z | [
"transformers",
"ctranslate2",
"int8",
"float16",
"en",
"dataset:togethercomputer/RedPajama-Data-1T",
"dataset:OpenAssistant/oasst1",
"dataset:databricks/databricks-dolly-15k",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | michaelfeil | null | null | michaelfeil/ct2fast-RedPajama-INCITE-7B-Chat | 0 | 2 | transformers | 2023-06-07T20:10:35 | ---
tags:
- ctranslate2
- int8
- float16
license: apache-2.0
language:
- en
datasets:
- togethercomputer/RedPajama-Data-1T
- OpenAssistant/oasst1
- databricks/databricks-dolly-15k
widget:
- text: "<human>: Write an email to my friends inviting them to come to my home on Friday for a dinner party, bring their own food ... | 9,855 | [
[
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0.0190887451171875,
-0.04083251953125,
-0.02435302734375,
-0.05615234375,
-0.003... |
Brandulio/dqn-SpaceInvadersNoFrameskip-v4 | 2023-06-08T01:25:14.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | Brandulio | null | null | Brandulio/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-06-08T01:24:39 | ---
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
... | 2,762 | [
[
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0.02490234375,
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0.009613037109375,
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0.022003173828125,
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-0.003... |
seanghay/bookmebus-roberta | 2023-06-08T06:13:53.000Z | [
"transformers",
"pytorch",
"tensorboard",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | seanghay | null | null | seanghay/bookmebus-roberta | 0 | 2 | transformers | 2023-06-08T06:05:21 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bookmebus-roberta
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. -->
# book... | 1,377 | [
[
-0.0237884521484375,
-0.050079345703125,
0.024444580078125,
0.00098419189453125,
-0.0227203369140625,
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0.0004668235778808594,
0.040557861328125,
-0.05377197265625,
-0.048553466796875,
-0.05633544921875,
... |
seanghay/bookmebus-sentiment-analysis | 2023-06-08T07:44:59.000Z | [
"transformers",
"pytorch",
"tensorboard",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | seanghay | null | null | seanghay/bookmebus-sentiment-analysis | 0 | 2 | transformers | 2023-06-08T06:15:42 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bookmebus-roberta-2
results: []
widget:
- text: អ្នកបើកឡានមិនគោរពច្បាប់
- text: រហ័សទាន់ចិត្ត
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably ... | 1,939 | [
[
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-0.044952392578125,
0.0186004638671875,
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-0.0152740478515625,
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-0.007091522216796875,
-0.0171051025390625,
0.00823211669921875,
0.035125732421875,
-0.053436279296875,
-0.04547119140625,
-0.05648803710... |
Jagannath/phishNet | 2023-06-08T06:58:06.000Z | [
"transformers",
"tf",
"distilbert",
"text-classification",
"generated_from_keras_callback",
"endpoints_compatible",
"region:us"
] | text-classification | Jagannath | null | null | Jagannath/phishNet | 0 | 2 | transformers | 2023-06-08T06:50:18 | ---
tags:
- generated_from_keras_callback
model-index:
- name: phishNet
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. -->
# phishNet
This model was trained from scratch... | 834 | [
[
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0.01123046875,
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0.039703369140625,
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-0.035430908203125,
-0.057891845703125,
-0.0201... |
sankar1535/slurp-intent_baseline-distilbert-base-uncased | 2023-06-08T09:49:02.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | sankar1535 | null | null | sankar1535/slurp-intent_baseline-distilbert-base-uncased | 1 | 2 | transformers | 2023-06-08T09:09:22 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: slurp-intent_baseline-distilbert-base-uncased
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, th... | 1,954 | [
[
-0.03204345703125,
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0.0020751953125,
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0.0222930908203125,
-0.049530029296875,
-0.04656982421875,
-0.061126708984375,
-0.0... |
dev-senolys/camembert_base_fine_tunned_categories_weight_v2 | 2023-06-09T09:28:12.000Z | [
"transformers",
"pytorch",
"tensorboard",
"camembert",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | dev-senolys | null | null | dev-senolys/camembert_base_fine_tunned_categories_weight_v2 | 0 | 2 | transformers | 2023-06-08T12:10:13 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: camembert_base_fine_tunned_categories_weight_v2
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. -... | 1,403 | [
[
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0.00922393798828125,
0.038543701171875,
-0.057891845703125,
-0.049468994140625,
-0.0450439453125,
... |
Yandexxxx/DrawListner | 2023-06-20T12:44:52.000Z | [
"keras",
"region:us"
] | null | Yandexxxx | null | null | Yandexxxx/DrawListner | 0 | 2 | keras | 2023-06-08T13:32:31 | ---
library_name: keras
---
# Модель для распознования цифр, натренерованна на наборе данных mnist
 | 122 | [
[
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yankihue/gpt2-tr-uncontrolled-classification-news-economics-final | 2023-06-08T19:45:03.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | yankihue | null | null | yankihue/gpt2-tr-uncontrolled-classification-news-economics-final | 0 | 2 | transformers | 2023-06-08T19:41:37 | mean:
rewards (before) -0.553348
rewards (after) 4.374639
dtype: float64
median:
rewards (before) -0.721978
rewards (after) 5.523491
dtype: float64 | 163 | [
[
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0.0146484375,
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0.0094604... |
devers93/Arab | 2023-06-08T20:34:42.000Z | [
"keras",
"region:us"
] | null | devers93 | null | null | devers93/Arab | 0 | 2 | keras | 2023-06-08T19:57:07 | ---
library_name: keras
---
# Модель для распознования цифр
Натренирована на наборе данных mnist
 | 111 | [
[
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0.01116943359375,
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0.023468017578125,
0.0169219970703125,
0.06683349609375,
0.0245513916015625,
-0.027191162109375,
-0.048187255859375,
-0.044525146484375,
-0.0100479125... |
TheBloke/starcoderplus-GGML | 2023-06-09T09:08:42.000Z | [
"transformers",
"starcoder",
"code",
"text-generation",
"dataset:bigcode/the-stack-dedup",
"dataset:tiiuae/falcon-refinedweb",
"arxiv:1911.02150",
"arxiv:2205.14135",
"arxiv:2207.14255",
"arxiv:2305.06161",
"license:bigcode-openrail-m",
"model-index",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/starcoderplus-GGML | 34 | 2 | transformers | 2023-06-08T21:29:59 | ---
pipeline_tag: text-generation
inference: false
license: bigcode-openrail-m
datasets:
- bigcode/the-stack-dedup
- tiiuae/falcon-refinedweb
metrics:
- code_eval
- mmlu
- arc
- hellaswag
- truthfulqa
library_name: transformers
tags:
- code
model-index:
- name: StarCoderPlus
results:
- task:
type: text-genera... | 11,222 | [
[
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wiorz/legal_bert_sm_gen1_large | 2023-06-12T23:56:23.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"region:us"
] | text-classification | wiorz | null | null | wiorz/legal_bert_sm_gen1_large | 0 | 2 | transformers | 2023-06-09T03:52:18 | ---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: legal_bert_sm_gen1_large
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete... | 3,618 | [
[
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-0.04595947265625,
-0.01... |
peihsin/sqlfinal_combine_ch | 2023-06-09T09:05:00.000Z | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"text-classification",
"zh",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | peihsin | null | null | peihsin/sqlfinal_combine_ch | 0 | 2 | transformers | 2023-06-09T07:19:03 | ---
license: apache-2.0
language:
- zh
metrics:
- bleu
pipeline_tag: text-classification
---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- text2vec
- feature-extraction
- sentence-similarity
- transformers
datasets:
- shibing624/nli_zh
language:
- zh
metrics:
- bleu
library_name: transform... | 323 | [
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ba-claim/bert | 2023-07-02T21:18:04.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"endpoints_compatible",
"region:us"
] | text-classification | ba-claim | null | null | ba-claim/bert | 0 | 2 | transformers | 2023-06-09T08:49:15 | ---
widget:
- text: "They're able to charge women more for the same exact procedure a man gets."
example_title: "Example: Yes"
- text: "There's no way they would give it up."
example_title: "Example: No"
---
# ba-claim/bert
## Model Details
Fine-tuned BERT Model for Claim Relevance Identification
Based ... | 1,695 | [
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Piun/my_defines | 2023-06-09T09:00:43.000Z | [
"keras",
"has_space",
"region:us"
] | null | Piun | null | null | Piun/my_defines | 0 | 2 | keras | 2023-06-09T08:56:40 | ---
library_name: keras
---
# Модель распознавания цифр
Обучена на наборе данных mnist
 | 104 | [
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Pogonyalov47/model47 | 2023-06-09T14:15:56.000Z | [
"keras",
"region:us"
] | null | Pogonyalov47 | null | null | Pogonyalov47/model47 | 0 | 2 | keras | 2023-06-09T14:07:01 | ---
library_name: keras
---
# Модель для распознования цифр, натренерованна на наборе данных mnist
 | 122 | [
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-0.051666259765625,
-0.004... |
Au3609/digits | 2023-06-09T16:16:53.000Z | [
"keras",
"region:us"
] | null | Au3609 | null | null | Au3609/digits | 0 | 2 | keras | 2023-06-09T16:14:33 | ---
library_name: keras
---
# Модель для распознования цифр, натренерованна на наборе данных mnist
 | 122 | [
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CyberTea/digits | 2023-06-09T17:06:53.000Z | [
"keras",
"region:us"
] | null | CyberTea | null | null | CyberTea/digits | 1 | 2 | keras | 2023-06-09T17:04:35 | ---
library_name: keras
---
# Модель для распознования цифр, натренированная на наборе данных mnist
 | 122 | [
[
-0.0028076171875,
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0.029510498046875,
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-0.044189453125,
-0.01834106... |
mrm8488/gpt2-large-finetuned-jhegarty-texts | 2023-06-09T17:36:03.000Z | [
"transformers",
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | mrm8488 | null | null | mrm8488/gpt2-large-finetuned-jhegarty-texts | 0 | 2 | transformers | 2023-06-09T17:25:12 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-large-finetuned-jhegarty-texts
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-l... | 1,471 | [
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... |
Alim2003/digits | 2023-06-09T18:51:02.000Z | [
"keras",
"region:us"
] | null | Alim2003 | null | null | Alim2003/digits | 0 | 2 | keras | 2023-06-09T17:37:29 | ---
library_name: keras
---
#_Модель_для_распознавания_цифр
Натренирована на наборе данных mnist
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MarketingHHM/autotrain-predictiveoutcomes_transcripts-65215136096 | 2023-06-09T18:08:22.000Z | [
"transformers",
"pytorch",
"safetensors",
"deberta",
"text-classification",
"autotrain",
"en",
"dataset:MarketingHHM/autotrain-data-predictiveoutcomes_transcripts",
"co2_eq_emissions",
"endpoints_compatible",
"region:us"
] | text-classification | MarketingHHM | null | null | MarketingHHM/autotrain-predictiveoutcomes_transcripts-65215136096 | 0 | 2 | transformers | 2023-06-09T18:00:40 | ---
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: "I love AutoTrain"
datasets:
- MarketingHHM/autotrain-data-predictiveoutcomes_transcripts
co2_eq_emissions:
emissions: 4.830666534700561
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 65215136096
-... | 1,381 | [
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MarketingHHM/autotrain-predictiveoutcomes_transcripts-65215136104 | 2023-06-09T18:03:13.000Z | [
"transformers",
"pytorch",
"safetensors",
"distilbert",
"text-classification",
"autotrain",
"en",
"dataset:MarketingHHM/autotrain-data-predictiveoutcomes_transcripts",
"co2_eq_emissions",
"endpoints_compatible",
"region:us"
] | text-classification | MarketingHHM | null | null | MarketingHHM/autotrain-predictiveoutcomes_transcripts-65215136104 | 0 | 2 | transformers | 2023-06-09T18:01:15 | ---
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: "I love AutoTrain"
datasets:
- MarketingHHM/autotrain-data-predictiveoutcomes_transcripts
co2_eq_emissions:
emissions: 0.27748265307081604
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 65215136104... | 1,383 | [
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Disskretnost/kucherenko_aleksandr | 2023-06-09T18:17:37.000Z | [
"keras",
"region:us"
] | null | Disskretnost | null | null | Disskretnost/kucherenko_aleksandr | 0 | 2 | keras | 2023-06-09T18:13:51 | ---
library_name: keras
---
# Модель для распознования цифр, натренерованна на наборе данных mnist
 | 122 | [
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venomdenom/digits | 2023-06-09T19:02:30.000Z | [
"keras",
"region:us"
] | null | venomdenom | null | null | venomdenom/digits | 0 | 2 | keras | 2023-06-09T18:43:52 | ---
library_name: keras
---
# Модель для распознования цифр
Натренерована на наборе данных mnist
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msproper/digits | 2023-06-09T18:58:55.000Z | [
"keras",
"region:us"
] | null | msproper | null | null | msproper/digits | 0 | 2 | keras | 2023-06-09T18:53:43 | ---
library_name: keras
---
# Модель для распознования цифр, натренерованна на наборе данных mnist
 | 122 | [
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0.0240020751953125,
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Konstantin12/Bulatovv | 2023-06-09T20:05:33.000Z | [
"keras",
"region:us"
] | null | Konstantin12 | null | null | Konstantin12/Bulatovv | 0 | 2 | keras | 2023-06-09T20:02:41 | ---
library_name: keras
---
# Модель для распознования цифр, натренерованна на наборе данных mnist
 | 122 | [
[
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N0vel/Praktika3_SemenovRS | 2023-06-09T20:26:49.000Z | [
"keras",
"region:us"
] | null | N0vel | null | null | N0vel/Praktika3_SemenovRS | 0 | 2 | keras | 2023-06-09T20:25:40 | ---
library_name: keras
---
# Модель для распознования цифр, натренерованна на наборе данных mnist
 | 122 | [
[
-0.00437164306640625,
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0.0240020751953125,
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DunnBC22/van-base-Brain_Tumors_Image_Classification | 2023-07-23T02:07:08.000Z | [
"transformers",
"pytorch",
"tensorboard",
"van",
"image-classification",
"generated_from_trainer",
"en",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | DunnBC22 | null | null | DunnBC22/van-base-Brain_Tumors_Image_Classification | 1 | 2 | transformers | 2023-06-09T21:06:44 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- recall
- precision
model-index:
- name: van-base-Brain_Tumors_Image_Classification
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
c... | 4,416 | [
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ProgramadorArtificial/wav2vec2-large-xlsr-53-portuguese | 2023-06-13T23:42:58.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"Wav2Vec2",
"speech-to-text",
"pt",
"dataset:mozilla-foundation/common_voice_13_0",
"dataset:falabrasil/Audio_Corpora-Bases_de_áudio",
"dataset:lucasgris/wav2vec4bp",
"dataset:Edresson/TTS-Portuguese-Corpus",
"dataset:voxfo... | automatic-speech-recognition | ProgramadorArtificial | null | null | ProgramadorArtificial/wav2vec2-large-xlsr-53-portuguese | 0 | 2 | transformers | 2023-06-09T22:17:06 | ---
license: apache-2.0
datasets:
- mozilla-foundation/common_voice_13_0
- falabrasil/Audio_Corpora-Bases_de_áudio
- lucasgris/wav2vec4bp
- Edresson/TTS-Portuguese-Corpus
- voxforge/voxforge-pt-dataset
- programadorartificial/custom_dataset
language:
- pt
metrics:
- wer
- cer
pipeline_tag: automatic-speech-recognition
... | 5,285 | [
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0.0275421142578125,
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0.001552... |
Zumaridi/opus-mt-en-sw-finetuned-en-to-sw | 2023-06-09T23:44:49.000Z | [
"transformers",
"pytorch",
"tensorboard",
"marian",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | Zumaridi | null | null | Zumaridi/opus-mt-en-sw-finetuned-en-to-sw | 0 | 2 | transformers | 2023-06-09T23:39:12 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-en-sw-finetuned-en-to-sw
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 co... | 1,627 | [
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0.03179931640625,
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0.00043654441... |
shamiulshifat/dqn-SpaceInvadersNoFrameskip-v4 | 2023-06-10T09:14:11.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | shamiulshifat | null | null | shamiulshifat/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-06-10T09:13:44 | ---
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
... | 2,772 | [
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0.02490234375,
-0.011260986328125,
-0.017425537109375,
0.0101165771484375,
-0.01296234130859375,
0.01303863525390625,
0.022430419921875,
-0.07220458984375,
-0.034423828125,
-0.0254669189453125,
-0.0037... |
destrat/digits | 2023-06-10T11:38:11.000Z | [
"keras",
"region:us"
] | null | destrat | null | null | destrat/digits | 0 | 2 | keras | 2023-06-10T11:35:54 | ---
library_name: keras
---
# Модель для распознования цифр, натренерованна на наборе данных mnist
 | 122 | [
[
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0.0240325927734375,
-0.032562255859375,
-0.048095703125,
-0.05169677734375,
-0.0... |
mirfan899/kids_phoneme_sm_model | 2023-10-17T08:11:20.000Z | [
"transformers",
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:mirfan899/kids_phoneme_sm",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | mirfan899 | null | null | mirfan899/kids_phoneme_sm_model | 1 | 2 | transformers | 2023-06-10T11:56:31 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- mirfan899/kids_phoneme_sm
base_model: facebook/wav2vec2-large-xlsr-53
model-index:
- name: kids_phoneme_sm_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should ... | 3,841 | [
[
-0.0408935546875,
-0.0411376953125,
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0.0003228187561035156,
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0.03955078125,
0.0245819091796875,
-0.052947998046875,
-0.046905517578125,
-0.046722412109375... |
minoosh/finetuned_wav2vec2.0-base-on-IEMOCAP_4 | 2023-06-10T14:58:42.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"audio-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | audio-classification | minoosh | null | null | minoosh/finetuned_wav2vec2.0-base-on-IEMOCAP_4 | 0 | 2 | transformers | 2023-06-10T12:25:57 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finetuned_wav2vec2.0-base-on-IEMOCAP_4
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 remo... | 2,336 | [
[
-0.038330078125,
-0.04107666015625,
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-0.0097198486328125,
-0.0187225341796875,
0.01629638671875,
0.020751953125,
-0.058868408203125,
-0.050811767578125,
-0.046539306640625,
-0... |
alicata/growth-stages | 2023-06-10T17:24:48.000Z | [
"transformers",
"pytorch",
"tensorboard",
"vit",
"image-classification",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | alicata | null | null | alicata/growth-stages | 0 | 2 | transformers | 2023-06-10T17:24:40 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: growth-stages
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.6788991093635559
---
# growth-stages
Auto... | 846 | [
[
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0.0322265625,
-0.026153564453125,
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0.003082275390625,
-0.062225341796875,
-0.05419921875,
-0.04827880859375,
-0.004936218261... |
DanPietrow1/ppo-LunarLander-v2 | 2023-06-10T23:13:35.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | DanPietrow1 | null | null | DanPietrow1/ppo-LunarLander-v2 | 0 | 2 | stable-baselines3 | 2023-06-10T22:34:15 | ---
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
... | 784 | [
[
-0.00023484230041503906,
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-... |
yam8572/dqn-SpaceInvaders-v5 | 2023-06-10T23:30:31.000Z | [
"stable-baselines3",
"ALE/SpaceInvaders-v5",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | yam8572 | null | null | yam8572/dqn-SpaceInvaders-v5 | 0 | 2 | stable-baselines3 | 2023-06-10T23:30:07 | ---
library_name: stable-baselines3
tags:
- ALE/SpaceInvaders-v5
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: ALE/SpaceInvaders-v5
type: ALE/Sp... | 2,680 | [
[
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-0.0263824462890625,
-0.00218772... |
coyude/Nous-Hermes-13b-Chinese-GPTQ | 2023-06-13T00:47:18.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"zh",
"en",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | coyude | null | null | coyude/Nous-Hermes-13b-Chinese-GPTQ | 4 | 2 | transformers | 2023-06-11T10:34:33 | ---
license: apache-2.0
language:
- zh
- en
library_name: transformers
pipeline_tag: text-generation
---
原始模型：https://huggingface.co/NousResearch/Nous-Hermes-13b
lora：https://huggingface.co/ziqingyang/chinese-alpaca-lora-13b
将Nous-Hermes-13b与chinese-alpaca-lora-13b进行合并，增强模型的中文能力，~~不过存在翻译腔~~
使用项目：
https://github.... | 1,279 | [
[
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ml-projects/clickbait-ml_bert | 2023-06-13T11:38:55.000Z | [
"transformers",
"tf",
"onnx",
"bert",
"text-classification",
"generated_from_keras_callback",
"de",
"dataset:ml-projects/clickbait-ml_dataset",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | ml-projects | null | null | ml-projects/clickbait-ml_bert | 0 | 2 | transformers | 2023-06-11T15:06:38 | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: clickbait-ml_bert
results: []
language:
- de
metrics:
- accuracy
pipeline_tag: text-classification
widget:
- text: Bundesweiter Großstreik beginnt - Züge, Busse und Flugzeuge stehen still
example_title: Normale Überschrift
- text: Bachelor ... | 2,079 | [
[
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0.0126953125,
-0.0482177734375,
-0.051300048828125,
-0.055450439453125,
-0.01896... |
a-d/D-RL-BU-1-ppo-Huggy | 2023-06-11T16:03:59.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | reinforcement-learning | a-d | null | null | a-d/D-RL-BU-1-ppo-Huggy | 0 | 2 | ml-agents | 2023-06-11T16:03:48 | ---
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 (... | 1,323 | [
[
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-0.046600341796875,
-0.0306549072265625,
-0.01... |
ihgn/gpt2-paraphrase | 2023-08-18T00:10:26.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"en",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | ihgn | null | null | ihgn/gpt2-paraphrase | 0 | 2 | transformers | 2023-06-11T16:25:56 | ---
language:
- en
metrics:
- bleu
- rouge
pipeline_tag: text2text-generation
---
def paraphrase(
question,
num_beams=5,
num_beam_groups=5,
num_return_sequences=1,
repetition_penalty=10.0,
diversity_penalty=3.0,
no_repeat_ngram_size=2,
temperature=0.7... | 1,010 | [
[
-0.01004791259765625,
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0.032012939453125,
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-0.0058441162109375,
0.026947021484375,
-0.0035533905029296875,
0.0160675048828125,
-0.0221405029296875,
-0.039520263671875,
-0.041351318359375,... |
PocketDoc/Dans-PersonalityEngine-13b-gptq-4bit-128g | 2023-06-13T04:15:01.000Z | [
"transformers",
"llama",
"text-generation",
"en",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | PocketDoc | null | null | PocketDoc/Dans-PersonalityEngine-13b-gptq-4bit-128g | 1 | 2 | transformers | 2023-06-12T00:47:32 | ---
language:
- en
---
### Description:
This is a multipurpose chat / chat instruct hybrid model in the same vein as the Pygmalion team's Metharme. It uses a curated pile of training data that has been normalized into a consistent training format. It has been trained on a wide array of one shot instructions, multi rou... | 2,388 | [
[
-0.02581787109375,
-0.038848876953125,
0.02191162109375,
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0.019500732421875,
0.0227813720703125,
-0.0667724609375,
-0.033599853515625,
-0.0237579345703125,
... |
coyude/Chinese-plus-Wizard-Vicuna-13B-GPTQ | 2023-06-13T00:50:41.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"zh",
"en",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | coyude | null | null | coyude/Chinese-plus-Wizard-Vicuna-13B-GPTQ | 5 | 2 | transformers | 2023-06-12T05:04:54 | ---
license: apache-2.0
language:
- zh
- en
library_name: transformers
pipeline_tag: text-generation
---
原始模型：https://huggingface.co/TheBloke/Wizard-Vicuna-13B-Uncensored-HF
lora：https://huggingface.co/ziqingyang/chinese-llama-plus-lora-13b
https://huggingface.co/ziqingyang/chinese-alpaca-plus-lora-13b
将Wizard-V... | 1,410 | [
[
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0.04510498046875,
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0.0265045166015625,
-0.038299560546875,
-0.045501708984375,
-0.04547119140625,
0.014770507... |
NicoHi/whisper-base-voice-commands | 2023-08-14T15:48:54.000Z | [
"transformers",
"pytorch",
"tensorboard",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | NicoHi | null | null | NicoHi/whisper-base-voice-commands | 0 | 2 | transformers | 2023-06-12T13:56:33 | ---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-base-voice-commands
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. -->
# whisper-base... | 1,368 | [
[
-0.018646240234375,
-0.03375244140625,
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0.015655517578125,
-0.01422882080078125,
-0.0252685546875,
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-0.0008220672607421875,
0.0311737060546875,
-0.06719970703125,
-0.056365966796875,
-0.050872802734375... |
predictia/europe_reanalysis_downscaler_convswin2sr | 2023-07-30T20:47:38.000Z | [
"transformers",
"pytorch",
"tensorboard",
"conv_swin2sr",
"climate",
"super-resolution",
"image-to-image",
"es",
"en",
"dataset:openclimatefix/era5",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | image-to-image | predictia | null | null | predictia/europe_reanalysis_downscaler_convswin2sr | 0 | 2 | transformers | 2023-06-12T14:18:26 | ---
license: apache-2.0
datasets:
- openclimatefix/era5
language:
- es
- en
metrics:
- mse
library_name: transformers
pipeline_tag: image-to-image
tags:
- climate
- transformers
- super-resolution
---
# Europe Reanalysis Super Resolution
The aim of the project is to create a Machine learning (ML) model that can gene... | 6,767 | [
[
-0.04742431640625,
-0.047393798828125,
0.0303192138671875,
-0.0088653564453125,
-0.005809783935546875,
-0.0161285400390625,
-0.005828857421875,
-0.043365478515625,
0.0019702911376953125,
0.051483154296875,
-0.062225341796875,
-0.0540771484375,
-0.041839599609375... |
ShaneEP77/tolkientexts | 2023-06-21T20:54:01.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"text generation",
"en",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | ShaneEP77 | null | null | ShaneEP77/tolkientexts | 0 | 2 | transformers | 2023-06-12T14:46:14 |
---
language: en
thumbnail: "https://www.billboard.com/wp-content/uploads/media/Middle-earth-Shadow-of-War-GAME-Screenshot-2017-billboard-1548.jpg"
tags:
- text generation
- pytorch
license: mit
---
### Tolkientexts Model
Welcome! This README.md aims to provide a synopsis of how this model was trained and fine-tuned.... | 3,766 | [
[
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0.03369140625,
-0.02923583984375,
-0.0277557373046875,
-0.04486083984375... |
yasinbastug/comment_toxicity_model | 2023-06-12T15:27:04.000Z | [
"keras",
"has_space",
"region:us"
] | null | yasinbastug | null | null | yasinbastug/comment_toxicity_model | 0 | 2 | keras | 2023-06-12T15:26:46 | ---
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 ... | 840 | [
[
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0.020172119140625,
0.0307464599609375,
-0.043670654296875,
-0.051025390625,
-0.039306640625,
0.0002460... |
huggingtweets/goddessalexaxox | 2023-06-12T16:47:03.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"huggingtweets",
"en",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | huggingtweets | null | null | huggingtweets/goddessalexaxox | 0 | 2 | transformers | 2023-06-12T16:46:57 | ---
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... | 3,523 | [
[
-0.0212860107421875,
-0.06500244140625,
0.026947021484375,
0.011322021484375,
-0.0222930908203125,
0.01079559326171875,
-0.000946044921875,
-0.037017822265625,
0.026458740234375,
0.007537841796875,
-0.07464599609375,
-0.03271484375,
-0.050079345703125,
-0.00... |
huggingtweets/sainte_caramel | 2023-06-12T17:13:07.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"huggingtweets",
"en",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | huggingtweets | null | null | huggingtweets/sainte_caramel | 0 | 2 | transformers | 2023-06-12T17:12:57 | ---
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... | 3,518 | [
[
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-0.0640869140625,
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0.02020263671875,
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-0.006130218505859375,
-0.035888671875,
0.0261688232421875,
0.01027679443359375,
-0.07147216796875,
-0.03472900390625,
-0.0494384765625,
-0.0106... |
UTibetNLP/cino-base-v2_TNCC-title_tsheg | 2023-07-23T13:33:27.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | UTibetNLP | null | null | UTibetNLP/cino-base-v2_TNCC-title_tsheg | 0 | 2 | transformers | 2023-06-13T03:16:38 | ---
license: apache-2.0
---
## Introduction
This is a fine-tuned LM in our paper below and the related GitHub repo is [here](https://github.com/metaphors/TibetanPLMsFineTuning).
***[Pay Attention to the Robustness of Chinese Minority Language Models! Syllable-level Textual Adversarial Attack on Tibetan Script](https... | 1,090 | [
[
-0.0067291259765625,
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0.026397705078125,
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mamun4105/dqn-SpaceInvadersNoFrameskip-v4 | 2023-06-13T07:31:22.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | mamun4105 | null | null | mamun4105/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-06-13T06:10:32 | ---
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
... | 2,762 | [
[
-0.043731689453125,
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intanm/fewshot-qa-002-20230613-003 | 2023-06-13T07:30:44.000Z | [
"transformers",
"pytorch",
"tensorboard",
"xlm-roberta",
"question-answering",
"generated_from_trainer",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | intanm | null | null | intanm/fewshot-qa-002-20230613-003 | 0 | 2 | transformers | 2023-06-13T07:11:07 | ---
license: cc-by-4.0
tags:
- generated_from_trainer
model-index:
- name: fewshot-qa-002-20230613-003
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. -->
# fewshot-... | 1,761 | [
[
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addy88/bert-finetuned-bpmn | 2023-06-13T09:15:21.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"token-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | addy88 | null | null | addy88/bert-finetuned-bpmn | 0 | 2 | transformers | 2023-06-13T09:06:45 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-bpmn
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, th... | 3,239 | [
[
-0.045318603515625,
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0.02716064453125,
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ml-projects/clickbait-ml_model-one | 2023-06-13T11:36:59.000Z | [
"keras",
"text-classification",
"de",
"dataset:ml-projects/clickbait-ml_dataset",
"arxiv:1910.09700",
"license:openrail",
"region:us"
] | text-classification | ml-projects | null | null | ml-projects/clickbait-ml_model-one | 0 | 2 | keras | 2023-06-13T11:15:45 | ---
license: openrail
language:
- de
metrics:
- accuracy
library_name: keras
pipeline_tag: text-classification
datasets:
- ml-projects/clickbait-ml_dataset
---
# Clickbait-ML Model One
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been gen... | 5,319 | [
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Eitanli/resume_label_summary_model | 2023-06-14T06:35:43.000Z | [
"transformers",
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | Eitanli | null | null | Eitanli/resume_label_summary_model | 0 | 2 | transformers | 2023-06-13T11:51:06 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: resume_label_summary_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... | 1,601 | [
[
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SHENMU007/neunit_BASE_V9.1 | 2023-06-20T09:47:26.000Z | [
"transformers",
"pytorch",
"tensorboard",
"speecht5",
"text-to-audio",
"1.1.0",
"generated_from_trainer",
"zh",
"dataset:facebook/voxpopuli",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-to-audio | SHENMU007 | null | null | SHENMU007/neunit_BASE_V9.1 | 0 | 2 | transformers | 2023-06-14T02:03:33 | ---
language:
- zh
license: mit
tags:
- 1.1.0
- generated_from_trainer
datasets:
- facebook/voxpopuli
model-index:
- name: SpeechT5 TTS Dutch neunit
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete... | 1,246 | [
[
-0.034637451171875,
-0.05291748046875,
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... |
zayedupal/movie-genre-prediction_distilbert-base-uncased | 2023-09-12T00:59:51.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | zayedupal | null | null | zayedupal/movie-genre-prediction_distilbert-base-uncased | 2 | 2 | transformers | 2023-06-14T06:44:34 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: distilbert-base-uncased
model-index:
- name: movie-genre-prediction_distilbert-base-uncased
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should p... | 1,806 | [
[
-0.025848388671875,
-0.04107666015625,
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-0.04852294921875,
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hitachi-nlp/bert-base-japanese_jumanpp-wordpiece | 2023-06-16T01:03:10.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"ja",
"dataset:wikipedia",
"dataset:cc100",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | hitachi-nlp | null | null | hitachi-nlp/bert-base-japanese_jumanpp-wordpiece | 0 | 2 | transformers | 2023-06-14T07:02:52 | ---
license: cc-by-nc-sa-4.0
datasets:
- wikipedia
- cc100
language:
- ja
library_name: transformers
pipeline_tag: fill-mask
---
Japanese BERT-base (Juman++ + WordPiece)
===
## How to load the tokenizer
Please download the dictionary file for Juman++ + WordPiece from [our GitHub repository](https://github.com/hitachi... | 2,855 | [
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TheBloke/minotaur-13B-fixed-GPTQ | 2023-09-27T12:44:37.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"OpenAccess AI Collective",
"MPT",
"axolotl",
"dataset:ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered",
"dataset:QingyiSi/Alpaca-CoT",
"dataset:teknium/GPTeacher-General-Instruct",
"dataset:metaeval/ScienceQA_text_only",
"datas... | text-generation | TheBloke | null | null | TheBloke/minotaur-13B-fixed-GPTQ | 5 | 2 | transformers | 2023-06-14T07:58:58 | ---
license: other
tags:
- OpenAccess AI Collective
- MPT
- axolotl
datasets:
- ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
- QingyiSi/Alpaca-CoT
- teknium/GPTeacher-General-Instruct
- metaeval/ScienceQA_text_only
- hellaswag
- openai/summarize_from_feedback
- riddle_sense
- gsm8k
- camel-ai/math
- camel-ai/... | 27,458 | [
[
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Falah/falahgs_school_qa_model | 2023-06-14T11:41:24.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | Falah | null | null | Falah/falahgs_school_qa_model | 0 | 2 | transformers | 2023-06-14T11:25:26 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: falahgs_school_qa_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. ... | 1,386 | [
[
-0.030426025390625,
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... |
TheBloke/airoboros-33B-gpt4-1.2-GPTQ | 2023-08-21T08:40:51.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"dataset:jondurbin/airoboros-gpt4-1.2",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/airoboros-33B-gpt4-1.2-GPTQ | 9 | 2 | transformers | 2023-06-14T13:07:17 | ---
inference: false
license: other
datasets:
- jondurbin/airoboros-gpt4-1.2
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div... | 11,007 | [
[
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MattiaSangermano/bert-political-leaning-it | 2023-06-25T21:07:03.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"bert",
"text-classification",
"twitter",
"political-leaning",
"politics",
"it",
"dataset:politic-it",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | MattiaSangermano | null | null | MattiaSangermano/bert-political-leaning-it | 2 | 2 | transformers | 2023-06-14T14:13:25 | ---
language:
- it
tags:
- twitter
- political-leaning
- politics
datasets:
- politic-it
widget:
- text: >-
È necessario garantire salari dignitosi e condizioni di lavoro adeguate per
tutelare i diritti dei lavoratori
example_title: Left-wing example
- text: >-
L'immigrazione deve essere gestita con rigor... | 5,328 | [
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ethzanalytics/RedPajama-INCITE-7B-Base-sharded-bf16 | 2023-06-16T09:39:26.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"sharded",
"bf16",
"base",
"en",
"dataset:togethercomputer/RedPajama-Data-1T",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | ethzanalytics | null | null | ethzanalytics/RedPajama-INCITE-7B-Base-sharded-bf16 | 0 | 2 | transformers | 2023-06-14T15:19:34 | ---
license: apache-2.0
datasets:
- togethercomputer/RedPajama-Data-1T
language:
- en
pipeline_tag: text-generation
tags:
- sharded
- bf16
- base
---
# RedPajama-INCITE-7B-Base-sharded-bf16
This is the `togethercomputer/RedPajama-INCITE-7B-Base` model, but the model file(s) have been sharded to ~2GB each to ensure i... | 757 | [
[
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aymericb/en_pipeline | 2023-06-14T15:22:52.000Z | [
"spacy",
"token-classification",
"text-classification",
"en",
"model-index",
"region:us"
] | text-classification | aymericb | null | null | aymericb/en_pipeline | 0 | 2 | spacy | 2023-06-14T15:22:34 | ---
tags:
- spacy
- token-classification
- text-classification
language:
- en
model-index:
- name: en_pipeline
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.0
- name: NER Recall
type: recall
value: 0.0
... | 3,372 | [
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0.019577026367... |
JsBetancourt/gpt-chistes | 2023-06-14T16:30:28.000Z | [
"peft",
"pytorch",
"tensorboard",
"generated_from_trainer",
"text-generation",
"region:us"
] | text-generation | JsBetancourt | null | null | JsBetancourt/gpt-chistes | 0 | 2 | peft | 2023-06-14T15:42:16 | ---
tags:
- generated_from_trainer
model-index:
- name: gpt-chistes
results: []
library_name: peft
pipeline_tag: text-generation
---
<!-- 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. -... | 1,212 | [
[
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0.00... |
hongyin/awareness-en-zh-bilingual-1.4b | 2023-09-20T07:56:21.000Z | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"en",
"zh",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | hongyin | null | null | hongyin/awareness-en-zh-bilingual-1.4b | 1 | 2 | transformers | 2023-06-15T03:23:16 | ---
language:
- en
- zh
pipeline_tag: text-generation
---
## hongyin/awareness-en-zh-bilingual-1.4b
This is a English-Chinese bilingual autoregressive language model based on Bloom with a parameter size of 1.4b. The model is trained based on the NTP task on large-scale unstructured text. It is worth noting that the m... | 919 | [
[
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soddokayo/klue-roberta-large-klue-2016klp-crime-2-ner | 2023-06-15T05:42:19.000Z | [
"transformers",
"pytorch",
"roberta",
"token-classification",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | soddokayo | null | null | soddokayo/klue-roberta-large-klue-2016klp-crime-2-ner | 0 | 2 | transformers | 2023-06-15T05:35:12 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: klue-roberta-large-klue-2016klp-crime-2-ner
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it... | 1,760 | [
[
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soddokayo/klue-roberta-large-klue-crime-2-ner | 2023-06-15T06:25:12.000Z | [
"transformers",
"pytorch",
"roberta",
"token-classification",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | soddokayo | null | null | soddokayo/klue-roberta-large-klue-crime-2-ner | 0 | 2 | transformers | 2023-06-15T06:01:17 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: klue-roberta-large-klue-crime-2-ner
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then r... | 2,373 | [
[
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-0.0006036758422851562,
-0.011688232421875,
-0.020050048828125,
-0.010009765625,
-0.022369384765625,
0.028656005859375,
0.024993896484375,
-0.04791259765625,
-0.050933837890625,
-0.055328369140625,
-0.... |
Falah/Mask_awesome_eli5_mlm_model | 2023-06-15T07:47:20.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | Falah | null | null | Falah/Mask_awesome_eli5_mlm_model | 0 | 2 | transformers | 2023-06-15T07:05:22 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Mask_awesome_eli5_mlm_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. -->
# Mask_aw... | 1,426 | [
[
-0.0268402099609375,
-0.04547119140625,
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0.018951416015625,
-0.0178375244140625,
-0.02532958984375,
0.0031528472900390625,
-0.0129547119140625,
0.0059051513671875,
0.0301361083984375,
-0.0567626953125,
-0.046142578125,
-0.052490234375,
-0.... |
nickmuchi/distilroberta-base-movie-genre-prediction | 2023-09-27T15:36:58.000Z | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | nickmuchi | null | null | nickmuchi/distilroberta-base-movie-genre-prediction | 0 | 2 | transformers | 2023-06-15T09:09:36 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: distilroberta-base
model-index:
- name: distilroberta-base-movie-genre-prediction
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably pr... | 1,980 | [
[
-0.030853271484375,
-0.044921875,
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0.0050201416015625,
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0.0214691162109375,
-0.05511474609375,
-0.043701171875,
-0.06317138671875,
-0.0... |
Moses25/llama-7b-adapter | 2023-09-14T14:45:03.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:afl-3.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Moses25 | null | null | Moses25/llama-7b-adapter | 0 | 2 | transformers | 2023-06-15T09:20:46 | ---
license: afl-3.0
---
#### training code is refer to [trainig code](https://github.com/moseshu/deeplearning/blob/main/nlp/train_qlora.sh)
lora_checkpoint path is trained by train_qlora.sh
#### alpaca and xgen-lora training refer to [code](https://github.com/moseshu/deeplearning/blob/main/llama-finetune/alpaca_lor... | 325 | [
[
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0.0382080078125,
-0.074462890625,
-0.03460693359375,
-0.032562255859375,
-0.01... |
pphuc25/whisper-tiny-testing-common-voice | 2023-06-15T10:50:15.000Z | [
"transformers",
"pytorch",
"whisper",
"automatic-speech-recognition",
"whisper-event",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | pphuc25 | null | null | pphuc25/whisper-tiny-testing-common-voice | 0 | 2 | transformers | 2023-06-15T10:20:51 | ---
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
model-index:
- name: whisper-tiny-testing-common-voice
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... | 1,922 | [
[
-0.03424072265625,
-0.045989990234375,
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-0.0146636962890625,
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-0.0169525146484375,
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0.014373779296875,
0.0171051025390625,
-0.059051513671875,
-0.0361328125,
-0.03924560546875,
... |
erfanzar/FlaxFalcon | 2023-06-28T07:52:23.000Z | [
"transformers",
"falcon",
"custom_code",
"en",
"dataset:tiiuae/falcon-refinedweb",
"arxiv:2306.01116",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | null | erfanzar | null | null | erfanzar/FlaxFalcon | 0 | 2 | transformers | 2023-06-15T13:29:06 | ---
datasets:
- tiiuae/falcon-refinedweb
language:
- en
inference: false
license: apache-2.0
---
# Falcon-RW-7B
**Falcon-RW-7B is a 7B parameters causal decoder-only model built by [TII](https://www.tii.ae) and trained on 350B tokens of [RefinedWeb](https://huggingface.co/datasets/tiiuae/falcon-refinedweb). It is mad... | 572 | [
[
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0.0... |
fx1H/dqn-SpaceInvadersNoFrameskip-v4 | 2023-06-15T13:29:54.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | fx1H | null | null | fx1H/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-06-15T13:29:23 | ---
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
... | 2,748 | [
[
-0.04296875,
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-0.03515625,
-0.0247955322265625,
-0.00354385... |
amjadfqs/finalProject | 2023-06-16T22:28:48.000Z | [
"transformers",
"pytorch",
"tensorboard",
"swin",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | amjadfqs | null | null | amjadfqs/finalProject | 0 | 2 | transformers | 2023-06-15T17:30:57 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
- precision
model-index:
- name: finalProject
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
... | 3,122 | [
[
-0.0416259765625,
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-0.05084228515625,
-0.05340576171875,
-0.04541015625,
-... |
grantprice/pythia-410m-deduped-finetuned-Critical-Role | 2023-06-16T16:27:08.000Z | [
"transformers",
"pytorch",
"tensorboard",
"gpt_neox",
"text-generation",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | grantprice | null | null | grantprice/pythia-410m-deduped-finetuned-Critical-Role | 0 | 2 | transformers | 2023-06-15T19:15:12 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: pythia-410m-deduped-finetuned-Critical-Role
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... | 1,439 | [
[
-0.03204345703125,
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-0.00760650634765625,
-0.0122528076171875,
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-0.0416259765625,
-0.034698486328125,
-0.042449951171875,
... |
michaelfeil/ct2fast-e5-large-v2 | 2023-10-13T13:37:36.000Z | [
"sentence-transformers",
"bert",
"ctranslate2",
"int8",
"float16",
"mteb",
"Sentence Transformers",
"sentence-similarity",
"en",
"arxiv:2212.03533",
"arxiv:2104.08663",
"arxiv:2210.07316",
"license:mit",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | michaelfeil | null | null | michaelfeil/ct2fast-e5-large-v2 | 3 | 2 | sentence-transformers | 2023-06-15T20:11:32 | ---
tags:
- ctranslate2
- int8
- float16
- mteb
- Sentence Transformers
- sentence-similarity
- sentence-transformers
model-index:
- name: e5-large-v2
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config... | 69,906 | [
[
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-0.058135986328125,
0.024017333984375,
0.0240325927734375,
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-0.046295166015625,
-0.06903076171875,
0.... |
gokuls/sa_BERT_24_cola | 2023-06-15T21:09:25.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | gokuls | null | null | gokuls/sa_BERT_24_cola | 0 | 2 | transformers | 2023-06-15T20:59:44 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
- accuracy
model-index:
- name: sa_BERT_24_cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE COLA
type: glue
config: co... | 2,297 | [
[
-0.0233612060546875,
-0.046051025390625,
-0.0018301010131835938,
0.017974853515625,
-0.01727294921875,
-0.01343536376953125,
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0.0292510986328125,
0.00983428955078125,
-0.053680419921875,
-0.03216552734375,
-0.0533447265625,
... |
gokuls/sa_BERT_48_cola | 2023-06-15T21:15:38.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | gokuls | null | null | gokuls/sa_BERT_48_cola | 0 | 2 | transformers | 2023-06-15T21:03:59 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
- accuracy
model-index:
- name: sa_BERT_48_cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE COLA
type: glue
config: co... | 2,401 | [
[
-0.0251312255859375,
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0.01068115234375,
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-0.034088134765625,
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-0... |
Kamaljp/topic_docs5000 | 2023-06-16T01:39:22.000Z | [
"bertopic",
"text-classification",
"region:us"
] | text-classification | Kamaljp | null | null | Kamaljp/topic_docs5000 | 0 | 2 | bertopic | 2023-06-16T01:36:55 |
---
tags:
- bertopic
library_name: bertopic
pipeline_tag: text-classification
---
# topic_docs5000
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Us... | 3,516 | [
[
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0.0321044921875,
0.01142120361328125,
-0.053863525390625,
-0.047760009765625,
-0.052642822265625,... |
justinhoang/dqn-SpaceInvadersNoFrameskip-v4 | 2023-06-16T02:46:37.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | justinhoang | null | null | justinhoang/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-06-16T02:45:57 | ---
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
... | 2,768 | [
[
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0.0224609375,
-0.0721435546875,
-0.03497314453125,
-0.025421142578125,
-0.0038833618... |
SkeVinci/ppo-Huggy | 2023-06-16T06:04:27.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | reinforcement-learning | SkeVinci | null | null | SkeVinci/ppo-Huggy | 0 | 2 | ml-agents | 2023-06-16T06:04:24 | ---
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 (... | 1,318 | [
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IvanKun/dqn-SpaceInvadersNoFrameskip-v4 | 2023-06-16T12:28:30.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | IvanKun | null | null | IvanKun/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-06-16T12:27:58 | ---
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
... | 2,753 | [
[
-0.043365478515625,
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0.0196075439453125,
0.025848388671875,
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-0.0... |
TheBloke/airoboros-13B-gpt4-1.2-GPTQ | 2023-08-21T08:36:05.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"dataset:jondurbin/airoboros-gpt4-1.2",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/airoboros-13B-gpt4-1.2-GPTQ | 7 | 2 | transformers | 2023-06-16T12:37:58 | ---
inference: false
license: other
datasets:
- jondurbin/airoboros-gpt4-1.2
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div... | 10,964 | [
[
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0.0177764892578125,
0.0082550048828125,
-0.04461669921875,
-0.0304412841796875,
-0.032684326171875,... |
hopkins/mbart-finetuned-eng-fra | 2023-09-06T18:10:04.000Z | [
"transformers",
"pytorch",
"tensorboard",
"mbart",
"text2text-generation",
"translation",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | hopkins | null | null | hopkins/mbart-finetuned-eng-fra | 0 | 2 | transformers | 2023-06-16T14:04:57 | ---
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mbart-finetuned-eng-fra
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. -->
# m... | 1,224 | [
[
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-0.057952880859375,
-0.03369140625,
-0.043731689453125,
-0.007888... |
zlsl/l_warhammer3 | 2023-08-11T14:01:52.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt2",
"text-generation",
"russian",
"warhammer",
"wh40k",
"warhammer40k",
"ru",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | zlsl | null | null | zlsl/l_warhammer3 | 2 | 2 | transformers | 2023-06-16T16:32:54 | ---
license: apache-2.0
language:
- ru
library_name: transformers
pipeline_tag: text-generation
tags:
- russian
- warhammer
- wh40k
- warhammer40k
widget:
- text: "Конрад Керз подошел к огромным воротам"
- text: "Болтер был украшен"
- text: "Толпа хаоситов приближалась"
- text: "Это был инквизитор"
---
Генерация текст... | 3,129 | [
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0.00... |
zlsl/m_physics | 2023-08-11T14:02:21.000Z | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"physics",
"физика",
"ru",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | zlsl | null | null | zlsl/m_physics | 0 | 2 | transformers | 2023-06-16T16:54:34 | ---
license: apache-2.0
language:
- ru
library_name: transformers
pipeline_tag: text-generation
tags:
- physics
- физика
---
Генерация текстов, тематика: физика
## Для пользователей text-generation-webui
В инструменте поломана работа с GPT-2, GPTJ, GPT-NEO и аналогичными модлями, неверно загружается токенизер.
Ошибк... | 585 | [
[
-0.01212310791015625,
-0.04364013671875,
0.01499176025390625,
0.0198974609375,
-0.03277587890625,
0.00074005126953125,
0.029144287109375,
-0.003040313720703125,
0.00980377197265625,
-0.004398345947265625,
-0.052764892578125,
-0.029083251953125,
-0.02897644042968... |
zlsl/m_cosmos | 2023-08-11T14:02:14.000Z | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"russian",
"cosmos",
"astrophysics",
"ru",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | zlsl | null | null | zlsl/m_cosmos | 1 | 2 | transformers | 2023-06-16T17:00:47 | ---
license: apache-2.0
language:
- ru
library_name: transformers
pipeline_tag: text-generation
tags:
- russian
- cosmos
- astrophysics
---
Модель для генерации текстов по космосу, астрофизике, космонавтике
## Для пользователей text-generation-webui
В инструменте поломана работа с GPT-2, GPTJ, GPT-NEO и аналогичными... | 631 | [
[
-0.01305389404296875,
-0.0455322265625,
0.0164794921875,
0.0186920166015625,
-0.03558349609375,
0.0042266845703125,
0.0300445556640625,
-0.0026092529296875,
0.0169525146484375,
-0.0020923614501953125,
-0.052734375,
-0.028045654296875,
-0.0299224853515625,
0.... |
JvThunder/ppo-Pyramids | 2023-06-16T18:37:51.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | JvThunder | null | null | JvThunder/ppo-Pyramids | 0 | 2 | ml-agents | 2023-06-16T18:37:41 | ---
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).
... | 1,334 | [
[
-0.040283203125,
-0.034271240234375,
0.0021514892578125,
0.01371002197265625,
-0.01055908203125,
0.01251983642578125,
0.0167083740234375,
-0.01461029052734375,
0.033477783203125,
0.0304412841796875,
-0.040557861328125,
-0.05010986328125,
-0.0296173095703125,
... |
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