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 |
|---|---|---|---|---|---|---|---|
ArnaudPannatier/MLPMixer | [] | null | {
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"num_beams... | 0 | null | ---
license: cc-by-nc-4.0
pipeline_tag: token-classification
tags:
- flair
- token-classification
widget:
- text: 上 在 慶 德 宮
- text: 上 在 慶 德 宮 停 常 參 只 晝 講
language:
- zh
- ko
library_name: flair
---
## History NER
Citation
If you apply this library or model to any project and research, please cite our code:
```python
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Arnold/common_voiceha | [] | null | {
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tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for convit_small.fb_in1k
A ConViT image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
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Arnold/wav2vec2-hausa-demo-colab | [] | null | {
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tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for convit_tiny.fb_in1k
A ConViT image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
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Arnold/wav2vec2-large-xlsr-hausa2-demo-colab | [
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"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
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"no_repeat_ngram_s... | 5 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: tuned_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. -->
# tuned_model
This model... | [
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ArshdeepSekhon050/DialoGPT-medium-RickAndMorty | [] | null | {
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license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-cased-distilled-squad-finetuned-lr1e-06-epochs15
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, the... | [
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AryanLala/autonlp-Scientific_Title_Generator-34558227 | [
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"pegasus",
"text2text-generation",
"en",
"dataset:AryanLala/autonlp-data-Scientific_Title_Generator",
"transformers",
"autonlp",
"co2_eq_emissions",
"autotrain_compatible",
"has_space"
] | text2text-generation | {
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],
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"n... | 103 | 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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Ashagi/Ashvx | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: testing_img_token
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. -->
# testing_img_token
This ... | [
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Ashkanmh/bert-base-parsbert-uncased-finetuned | [
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 3 | 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 (... | [
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Atchuth/MBOT | [] | null | {
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tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-PixelCopter
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
... | [
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Atlasky/Turkish-Negator | [] | null | {
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"num_beams... | 0 | 2023-04-24T05:40:28Z | ---
license: openrail
library_name: diffusers
pipeline_tag: text-to-image
--- | [
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Atlasky/turkish-negator-nn | [] | null | {
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"num_beams... | 0 | 2023-04-24T05:44:35Z | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt-expt-sp-v3-K-600-MA-Mac-actions-kmeans-v5
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->... | [
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Augustvember/WokkaBot8 | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: anercorpDataset_v2.1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, t... | [
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Augustvember/wokka4 | [
"conversational"
] | conversational | {
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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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Ayham/albert_roberta_summarization_cnn_dailymail | [
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"no_re... | 6 | null | ---
license: openrail
datasets:
- AlekseyKorshuk/persona-chat
language:
- en
pipeline_tag: text-generation
---
---
language:
- en
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
# Model Details
## Model Description
<!-- Provide a longer summary of what this model is. -->... | [
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Ayham/bert_bert_summarization_cnn_dailymail | [
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"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
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"no_re... | 4 | null | ---
tags:
- autotrain
- vision
- image-classification
datasets:
- nicolasvillamilsanchez/autotrain-data-petrography
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
exam... | [
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Ayham/distilbert_gpt2_summarization_cnndm | [
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"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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"no_re... | 6 | null | ---
pipeline_tag: text-classification
widget:
- text: "Paris is the <mask> of France."
example_title: "Capital"
- text: "The goal of life is <mask>."
example_title: "Philosophy"
--- | [
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Ayham/xlnet_bert_summarization_cnn_dailymail | [
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"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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"no_re... | 7 | null | ---
datasets:
- yelp_review_full
language:
- en
metrics:
- accuracy
pipeline_tag: text-classification
tags:
- code
widget:
- text: "messi is the best player of the world"
- text: "Milan is the best football club"
- text: "soccer is the most popular sport in the world"
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Ayran/DialoGPT-small-harry-potter-1-through-3 | [
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] | conversational | {
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"no_repeat_ngram_size... | 12 | null | ---
pipeline_tag: text-generation
widget:
- text: "Hello World!"
- text: "Have you ever wondered about"
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0.05... |
AyushPJ/ai-club-inductions-21-nlp-ALBERT | [
"pytorch",
"albert",
"question-answering",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"AlbertForQuestionAnswering"
],
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"no_repe... | 8 | 2023-04-24T08:07:18Z | ---
license: apache-2.0
language:
- zh
tags:
- Chinese
---
# Open-Chinese-LLaMA
This project is a **Chinese large language model base** generated through **incremental pre-training on Chinese datasets** based on [LLaMA](https://github.com/facebookresearch/llama)-7B.
## Features
* This project provides a Chinese pre... | [
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AyushPJ/ai-club-inductions-21-nlp-ELECTRA-base-squad | [
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"no_re... | 12 | null | ---
datasets:
- yelp_review_full
language:
- en
pipeline_tag: text-generation
tags:
- code
widget:
- text: "Is pizza a delicious food ?"
- text: "what is the best football club in the world ?"
--- | [
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BME-TMIT/foszt2oszt | [
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"hu",
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"no_re... | 15 | null | ---
datasets:
- GEM/xwikis
metrics:
- bleu
widget:
- text: "I use this word because"
- text: "This example has written"
--- | [
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BOON/electra_qa | [] | null | {
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"num_beams... | 0 | null | # Model Card for PickScore v1
This model is a scoring function for images generated from text. It takes as input a prompt and a generated image and outputs a score.
It can be used as a general scoring function, and for tasks such as human preference prediction, model evaluation, image ranking, and more.
See our pape... | [
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Bagus/SER-LSSED | [] | null | {
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license: mit
---
recreated the method in https://arxiv.org/abs/2304.11062
combined it with a t5-base due to the encoder already using relative positionsl embeddings. modified a few scripts i found deep in the gptneox history to adapt the decoder to have similar embeddings and applied the logic to the decoder as wel... | [
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Banshee/LukeSkywalker | [] | null | {
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pipeline_tag: text-classification
---
widget:
- text: "Jens Peter Hansen kommer fra Danmark" | [
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Banshee/dialoGPT-small-luke | [] | null | {
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"num_beams... | 0 | 2023-04-24T09:08:57Z | ---
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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BaptisteDoyen/camembert-base-xnli | [
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"tf",
"camembert",
"text-classification",
"fr",
"dataset:xnli",
"transformers",
"zero-shot-classification",
"xnli",
"nli",
"license:mit",
"has_space"
] | zero-shot-classification | {
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"CamembertForSequenceClassification"
],
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... | 405,474 | 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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BatuhanYilmaz/bert-finetuned-mrpc | [] | null | {
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"num_beams... | 0 | 2023-04-24T09:18:10Z | ---
language:
- en
license: creativeml-openrail-m
thumbnail: "https://huggingface.co/Guizmus/SDArt_UnmythicalCreatures/resolve/main/showcase.jpg"
tags:
- stable-diffusion
- text-to-image
- image-to-image
---
# SDArt : Un-Mythical Creatures (version based on 1.5)
 notebook
Test the concept via A1111 Col... | [
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BatuhanYilmaz/code-search-net-tokenizer1 | [] | null | {
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license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
datasets:
- cord-layoutlmv3
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: layoutlmv3-finetuned-cord_100
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: cord-layoutlmv3
t... | [
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BatuhanYilmaz/distilbert-base-uncased-finetuned-squad-d5716d28 | [
"pytorch",
"distilbert",
"fill-mask",
"en",
"dataset:squad",
"arxiv:1910.01108",
"transformers",
"question-answering",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | {
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],
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"no_repea... | 18 | 2023-04-24T09:19:42Z | ---
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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BatuhanYilmaz/dummy | [] | null | {
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license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
datasets:
- funsd
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: layoutlmv3-finetuned-funsd
results:
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name: Token Classification
type: token-classification
dataset:
name: funsd
type: funsd
config... | [
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BeIR/query-gen-msmarco-t5-large-v1 | [
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"t5",
"text2text-generation",
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"autotrain_compatible"
] | text2text-generation | {
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"no_repeat_ngram_s... | 1,225 | null | ---
pipeline_tag: text-classification
widget:
- text: "the weather is hot"
- text: "I love summer"
--- | [
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Beatriz/model_name | [] | null | {
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license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: T5_large6_512_128
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ... | [
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Begimay/Task | [] | null | {
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pipeline_tag: text-generation
widget:
- text: "last year I went to Canada"
- text: "the weather is hot"
--- | [
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Benicio/t5-small-finetuned-en-to-ro | [] | null | {
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license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-topics-customdata2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove t... | [
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Betaniaolivo/Foto | [] | null | {
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widget:
- text: "I love football so much"
example_title: "Positive Mostafa example 1"
- text: "I don't really like this type of food"
example_title: "Negative Mostafa example 2"
--- | [
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Bharathdamu/wav2vec2-model-hindi-stt | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
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name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
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BigSalmon/FormalRobertaa | [
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"transformers",
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"has_space"
] | fill-mask | {
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"no_repeat_ngra... | 5 | null | ---
library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
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-0.03763618692755699,
0.06895939260721207,
0.022000765427947044,
0.003089976031333208,
0.015217749401926994,
0.... |
BigSalmon/FormalRobertaaa | [
"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... | 12 | null | ---
license: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Afrikaans.
### Dataset Creation
1. English Instructions: The Engl... | [
-0.04415491595864296,
0.0016326472396031022,
0.0005688223754987121,
0.04735754057765007,
0.043230198323726654,
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0.06336852163076401,
0.020632967352867126,
-0.060702357441186905,
-0.00106098095420748,
... |
BigSalmon/GPTHeHe | [
"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... | 8 | null | ---
license: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Bengali.
### Dataset Creation
1. English Instructions: The Englis... | [
-0.03583389148116112,
0.002701502526178956,
0.010673324577510357,
0.05245005339384079,
0.032930467277765274,
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0.058878324925899506,
0.022536950185894966,
-0.058059681206941605,
0.005021935328841209,
0.... |
BigSalmon/GPTIntro | [] | 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: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Czech.
### Dataset Creation
1. English Instructions: The English ... | [
-0.03668811172246933,
0.006020278204232454,
0.005652459338307381,
0.0546550452709198,
0.03737790510058403,
0.008796973153948784,
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0.009701384231448174,
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0.06492945551872253,
0.018541259691119194,
-0.05713138356804848,
-0.003480351995676756,
0.02605... |
BigSalmon/GPTNeo350MInformalToFormalLincoln2 | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"has_space"
] | 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... | 8 | null | ---
license: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Spanish.
### Dataset Creation
1. English Instructions: The Englis... | [
-0.04025674983859062,
0.005562769714742899,
0.008616813458502293,
0.05333403870463371,
0.030863502994179726,
0.013133570551872253,
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0.005764672067016363,
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0.05789001286029816,
0.013449326157569885,
-0.055326905101537704,
-0.003209262154996395,
0.0... |
BigSalmon/GPTNeo350MInformalToFormalLincoln3 | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"has_space"
] | 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... | 10 | null | ---
license: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Estonian.
### Dataset Creation
1. English Instructions: The Engli... | [
-0.039431046694517136,
0.0071015493012964725,
0.012438359670341015,
0.04952092468738556,
0.04301293194293976,
0.012426968663930893,
-0.016082320362329483,
0.0018013729713857174,
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0.060479868203401566,
0.020165594294667244,
-0.05932239443063736,
0.001353367348201573,
0.... |
BigSalmon/InfillFormalLincoln | [
"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... | 8 | null | ---
license: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Hebrew.
### Dataset Creation
1. English Instructions: The English... | [
-0.04408599063754082,
0.006392403971403837,
0.0030007141176611185,
0.04926137998700142,
0.03015701100230217,
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-0.012633209116756916,
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0.06091636046767235,
0.01632138527929783,
-0.056484516710042953,
0.006747404579073191,
0.02... |
BigSalmon/InformalToFormalLincoln14 | [
"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... | 5 | null | ---
license: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Hindi.
### Dataset Creation
1. English Instructions: The English ... | [
-0.03914957121014595,
0.003009103238582611,
0.006759372539818287,
0.050083011388778687,
0.026652192696928978,
0.019498832523822784,
-0.017191464081406593,
0.004663512576371431,
-0.029881272464990616,
0.06214148923754692,
0.01643957570195198,
-0.0547993928194046,
0.009460335597395897,
0.022... |
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 | null | ---
license: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Croatian.
### Dataset Creation
1. English Instructions: The Engli... | [
-0.03556232526898384,
0.0034994117449969053,
0.0075857690535485744,
0.0538170225918293,
0.037553805857896805,
0.008118122816085815,
-0.014897488057613373,
0.0064588855020701885,
-0.038147587329149246,
0.06461074203252792,
0.01900159940123558,
-0.060158900916576385,
-0.004369068890810013,
0... |
BigSalmon/InformalToFormalLincoln22 | [
"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... | 6 | null | ---
license: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Khmer.
### Dataset Creation
1. English Instructions: The English ... | [
-0.04626985266804695,
0.0004577737709041685,
0.008055810816586018,
0.05299944430589676,
0.031352318823337555,
0.0071693407371640205,
-0.01698167249560356,
0.004555355291813612,
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0.05394485592842102,
0.0238109789788723,
-0.06141693517565727,
-0.0004564716946333647,
0.0... |
BigSalmon/InformalToFormalLincoln23 | [
"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... | 5 | null | ---
license: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Korean.
### Dataset Creation
1. English Instructions: The English... | [
-0.043279342353343964,
0.004936811979860067,
0.004539842717349529,
0.05501329153776169,
0.0321471244096756,
0.015169666148722172,
-0.013218061998486519,
0.004833592567592859,
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0.06074552610516548,
0.020097075030207634,
-0.05736900866031647,
0.0001979715598281473,
0.01... |
BigSalmon/InformalToFormalLincoln25 | [
"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... | 10 | null | ---
license: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Latvian.
### Dataset Creation
1. English Instructions: The Englis... | [
-0.03819483518600464,
0.0022060899063944817,
0.009725941345095634,
0.05190635845065117,
0.04058827832341194,
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0.06125825271010399,
0.02256961725652218,
-0.0601234994828701,
-0.0015670164721086621,
0.025... |
BigSalmon/InformalToFormalLincolnDistilledGPT2 | [
"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... | 7 | null | ---
license: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Macedonian.
### Dataset Creation
1. English Instructions: The Eng... | [
-0.037707965821027756,
0.0031237322837114334,
0.0065145972184836864,
0.05352964252233505,
0.03529011458158493,
0.013137977570295334,
-0.019647302106022835,
0.0026656894478946924,
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0.060351379215717316,
0.021517150104045868,
-0.059152185916900635,
0.0004212579515296966,
... |
BigSalmon/Lincoln4 | [
"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 | null | ---
license: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Malayalam.
### Dataset Creation
1. English Instructions: The Engl... | [
-0.04049130156636238,
0.012236717157065868,
0.006779366638511419,
0.04691418260335922,
0.03994496911764145,
0.016997240483760834,
-0.016586504876613617,
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0.05992015451192856,
0.021392663940787315,
-0.06269688904285431,
0.006236273795366287,
0.02... |
BigSalmon/MrLincoln125MNeo | [
"pytorch",
"tensorboard",
"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... | 12 | null | ---
tags:
- generated_from_trainer
model-index:
- name: finetunedtopicscustomdata4
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. -->
# finetunedtopicscustomdata4
... | [
-0.009012234397232533,
0.003407191950827837,
0.014782240614295006,
0.028101766481995583,
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0.... |
BigSalmon/MrLincoln13 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
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},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | 2023-04-24T10:47:51Z | ---
license: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Dutch.
### Dataset Creation
1. English Instructions: The English ... | [
-0.043056052178144455,
0.006297730375081301,
0.008230648934841156,
0.04793158173561096,
0.03639356791973114,
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-0.001329420949332416,
0.02... |
BigSalmon/MrLincoln2 | [
"pytorch",
"tensorboard",
"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... | 9 | null | ---
license: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Pashto.
### Dataset Creation
1. English Instructions: The English... | [
-0.03446133807301521,
0.0029985534492880106,
0.00846894085407257,
0.05664929375052452,
0.03280239179730415,
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0.00032587815076112747,
0.023... |
BigSalmon/MrLincoln8 | [
"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... | 12 | null | ---
license: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Slovenian.
### Dataset Creation
1. English Instructions: The Engl... | [
-0.0344318188726902,
0.0037622193340212107,
0.005613958463072777,
0.0543578565120697,
0.039724163711071014,
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0.01062462106347084,
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0.06678604334592819,
0.02021334320306778,
-0.05845304951071739,
0.0014234519330784678,
0.02643... |
BigSalmon/PhraseBerta | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
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"no_repeat_ngra... | 10 | null | ---
license: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Tagalog.
### Dataset Creation
1. English Instructions: The Englis... | [
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BigSalmon/Points | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
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"no_repeat_ngram_size... | 13 | null | ---
license: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Turkish.
### Dataset Creation
1. English Instructions: The Englis... | [
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BigSalmon/Points2 | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 12 | null | ---
license: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Ukrainian.
### Dataset Creation
1. English Instructions: The Engl... | [
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BigSalmon/Robertsy | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
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"min_length": null,
"no_repeat_ngra... | 4 | null | ---
license: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Urdu.
### Dataset Creation
1. English Instructions: The English i... | [
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BigSalmon/Rowerta | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
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"no_repeat_ngra... | 4 | null | ---
license: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Vietnamese.
### Dataset Creation
1. English Instructions: The Eng... | [
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BigSalmon/SimplifyText | [
"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... | 17 | null | ---
license: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Xhosa.
### Dataset Creation
1. English Instructions: The English ... | [
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BigSalmon/T52 | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
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"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 8 | 2023-04-24T10:50:05Z | ---
license: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Chinese.
### Dataset Creation
1. English Instructions: The Englis... | [
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BigSalmon/T5F | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
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},
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"length_penalty": 2,
"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 6 | 2023-04-24T10:50:15Z | ---
license: mit
---
This repo contains a low-rank adapter (LoRA) for LLaMA-7b
fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca)
and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in English.
### Dataset Creation
1. English Instructions: The Englis... | [
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BigSalmon/T5Salmon2 | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
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],
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},
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"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 13 | null | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---
# HasinMDG/distiluse-base-multilingual-cased-IPTC-L1
This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an ... | [
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BigSalmon/TS3 | [
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"no_repeat_n... | 7 | null |
#### Table of contents
1. [Introduction](#introduction)
2. [Using PhoBERT with `transformers`](#transformers)
- [Installation](#install2)
- [Pre-trained models](#models2)
- [Example usage](#usage2)
3. [Using PhoBERT with `fairseq`](#fairseq)
4. [Notes](#vncorenlp)
# <a name="introduction"></a> PhoBERT: Pre-trained... | [
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BigTooth/DialoGPT-Megumin | [
"pytorch",
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"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 16 | null | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: test
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 1.0
---
# test
Autogenerated by HuggingPics🤗🖼️
Cr... | [
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0... |
BillelBenoudjit/jplu-wikiann | [
"fr",
"dataset:wikiann",
"model-index"
] | null | {
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"num_beams... | 0 | 2023-04-24T11:04:29Z | ---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
datasets:
- generated
model-index:
- name: layoutlmv3-finetuned-generated
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remov... | [
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Binbin/test | [] | null | {
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"num_beams... | 0 | 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
args: split
... | [
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Biniam/en_ti_translate | [
"pytorch",
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"text2text-generation",
"transformers",
"translation",
"autotrain_compatible"
] | translation | {
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],
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"no_repeat_ngram_size... | 14 | null | <p>Tips for Spotting Romance Scam Bots</p> <p class="MsoNormal"><span style="font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-font-kerning: 0pt; mso-ligatures: none;">Romance scams have been a prevalent issue for years, but with the rise of tech... | [
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BitanBiswas/mbert-bengali-ner-finetuned-ner | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
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"no_repeat... | 4 | null | ---
tags:
- generated_from_trainer
model-index:
- name: finetunedtopicscustomdata5
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. -->
# finetunedtopicscustomdata5
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Blabla/Pipipopo | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
---
**PromptGPT - An NLP companion for ai Artists**
PromptGPT is a prompt generation model that has been designed to aid artists to expand their ideas. The model has been fine-tuned on a vast corpus of artistic and literary works to ensure that it can provide the most relevant and contextually appropr... | [
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Blazeolmo/Scrabunzi | [] | null | {
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"num_beams... | 0 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Robot--Style Dreambooth model trained by VuDucQuang with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Col... | [
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Bloodwarrior/Chikfalay | [] | null | {
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"num_beams... | 0 | 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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BlueGamerBeast/DialoGPT-small-joshua | [] | null | {
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"num_beams... | 0 | 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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Bman/DialoGPT-medium-harrypotter | [] | null | {
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license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---
# andyP/sf-it-aug-01
This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot learning tech... | [
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BonjinKim/dst_kor_bert | [
"pytorch",
"jax",
"bert",
"pretraining",
"transformers"
] | null | {
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"no_repeat_ngram_s... | 5 | null | ---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
datasets:
- sroie
model-index:
- name: layoutlmv3-finetuned-sroie
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this c... | [
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Boondong/Wandee | [] | 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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... |
BossLee/t5-gec | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
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],
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"no_repeat_ngram_s... | 6 | null | ---
license: apache-2.0
tags:
- classification
- generated_from_trainer
datasets:
- tweet_sentiment_multilingual
metrics:
- accuracy
model-index:
- name: clasificador-tweet-sentiment
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_sentiment_multilingua... | [
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Botslity/Bot | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gptneo-txt2ARXMLv1.1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gptneo-txt2ARXMLv1.1
... | [
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BotterHax/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 8 | null | ---
license: creativeml-openrail-m
---
✅ Use of this model for commercial image generation services
✅ Commercial use of images generated by this model
✅ Use or redistribution of merged models using this model
❌ The act of selling this model or a model merged with this model
❌ Intentionally using this model to ... | [
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Brayan/CNN_Brain_Tumor | [] | null | {
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"num_beams... | 0 | 2023-04-24T11:44:25Z | ---
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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Brendan/cse244b-hw2-roberta | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | {
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"RobertaForSequenceClassification"
],
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"... | 28 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, t... | [
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0.040... |
BrianTin/MTBERT | [
"pytorch",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
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"no_repeat_ngram_size... | 11 | 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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Brinah/1 | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: mt5-base-finetuned-xsum
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. -->
# mt5-base-fi... | [
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0.0... |
BritishLibraryLabs/bl-books-genre | [
"pytorch",
"distilbert",
"text-classification",
"multilingual",
"dataset:blbooksgenre",
"transformers",
"genre",
"books",
"library",
"historic",
"glam ",
"lam",
"license:mit",
"has_space"
] | text-classification | {
"architectures": [
"DistilBertForSequenceClassification"
],
"model_type": "distilbert",
"task_specific_params": {
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"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
... | 76 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.50 +/- 2.72... | [
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Broadus20/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 9 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.71... | [
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Brunomezenga/NN | [] | null | {
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"num_beams... | 0 | null | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# Chillout Ni AF API Inference

## Get A... | [
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Bryanwong/wangchanberta-ner | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: torgo_healthy_2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# torgo_healthy_2
Th... | [
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Brykee/BrykeeBot | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: distilbert-ft-test2
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. -->
# distilbert-ft-... | [
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Brykee/DialoGPT-medium-Morty | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 10 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# b... | [
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0... |
Buntan/bert-finetuned-ner | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
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},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat... | 8 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: Donut-for-Invoices
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
#... | [
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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": {
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},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 63 | null | This is an adapter for the Dolly-6B model that has been fine-tuned on Coq code from the CoqGym dataset. | [
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0.009378698654472828,
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0.02114454098045826,
0.01217... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-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",
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},
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"no_repeat... | 1,860 | null | ---
license: bigscience-bloom-rail-1.0
datasets:
- tatoeba
- Abirate/french_book_reviews
language:
- fr
library_name: transformers
pipeline_tag: text-generation
---
[Bloom](https://huggingface.co/bigscience/bloom) model trained on French corpus.
# Config
* vocab_size=10000
* hidden_size=hidden_size
* n_head=8
* n_lay... | [
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0.03... |
dccuchile/albert-xlarge-spanish-finetuned-ner | [
"pytorch",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
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},
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"max_length": null,
"min_length": null,
"no_re... | 5 | 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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0.05499471724033356,
-0.0011448111617937684,
-0.009351267479360104,
0.02556735649704933,
0... |
CennetOguz/distilbert-base-uncased-finetuned-recipe-accelerate-1 | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"DistilBertForMaskedLM"
],
"model_type": "distilbert",
"task_specific_params": {
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},
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repea... | 1 | null | ---
license: mit
pipeline_tag: text-classification
---
## Roberta for Justification analyst
This model is a fine-tuned version of the Roberta architecture that has been trained specifically for sequence classification. The fine-tuning process involved using the PyTorch deep learning framework and specific hyperparame... | [
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0.046359509229660034,
0.03009694628417492,
0.0036433693021535873,
0.010069507174193859,
... |
CharlieChen/feedback-bigbird | [] | null | {
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},
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"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 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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0.05615415796637535,
0.019416114315390587,
-0.004424729850143194,
0.012843127362430096,
0.... |
ChaseBread/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: torgo_healthy_2_40
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. -->
# torgo_healthy_2_... | [
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0.030731191858649254,
... |
Cheatham/xlm-roberta-base-finetuned | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"XLMRobertaForSequenceClassification"
],
"model_type": "xlm-roberta",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
... | 20 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- beans
metrics:
- accuracy
model-index:
- name: platzi-vit-model-julio-garcia
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: beans
type: beans
config: default
split: valid... | [
-0.011113659478724003,
0.0034604850225150585,
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0.014901885762810707,
-0.021633850410580635,
-0.007300928700715303,
... |
Cheatham/xlm-roberta-large-finetuned-d1 | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"XLMRobertaForSequenceClassification"
],
"model_type": "xlm-roberta",
"task_specific_params": {
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},
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"min_length": null,
... | 20 | null | Access to model rajeeva703/autotrain-news_trans_01-52106122897 is restricted and you are not in the authorized list. Visit https://huggingface.co/rajeeva703/autotrain-news_trans_01-52106122897 to ask for access. | [
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0.004697585012763739,
0.007370959967374802,
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0.04936407878994942,
0.03147293999791145,
-0.008665240369737148,
0.0021600606851279736,
0.033... |
Cheatham/xlm-roberta-large-finetuned-d12 | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"XLMRobertaForSequenceClassification"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
... | 20 | 2023-04-24T15:59:18Z | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# Rev Anim API Inference

## Get API Key
... | [
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0.012888288125395775,
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0.057082876563072205,
0.029511358588933945,
-0.004490979481488466,
0.018373094499111176,
0... |
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