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 |
|---|---|---|---|---|---|---|---|
DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-12 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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"BertForSequenceClassification"
],
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"no_rep... | 29 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.54 +/- 2.71
... | [
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DoyyingFace/bert-asian-hate-tweets-asian-unclean-slanted | [
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"no_rep... | 29 | null | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
inference: false
library_name: diffusers
extra_gated_prompt: |-
One more step before getting this model.
This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying ri... | [
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DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-25 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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"no_rep... | 30 | 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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DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-75 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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"no_rep... | 37 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
---
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="MJC-1/Q-learning-Taxi-v3", filename="q-learn... | [
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DoyyingFace/bert-asian-hate-tweets-asian-unclean-with-clean-valid | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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],
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"no_rep... | 33 | 2023-05-19T14:47:27Z | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: BioBERT-finetuned-ner-S800
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 thi... | [
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0.... |
albert-large-v1 | [
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"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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],
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"no_repeat_ngram_... | 687 | 2023-05-19T14:56:10Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: byt5-small-ft-americas23-3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# byt5-sma... | [
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albert-xlarge-v2 | [
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
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"has_space"
] | fill-mask | {
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"no_repeat_ngram_... | 2,973 | 2023-05-19T14:56:30Z | ---
license: apache-2.0
tags:
- trl
- transformers
- reinforcement-learning
---
# TRL Model
This is a [TRL language model](https://github.com/lvwerra/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text ... | [
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0.0... |
albert-xxlarge-v1 | [
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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],
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"no_repeat_ngram_... | 7,091 | 2023-05-19T14:57:24Z | ---
license: apache-2.0
tags:
- trl
- transformers
- reinforcement-learning
---
# TRL Model
This is a [TRL language model](https://github.com/lvwerra/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text ... | [
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0.0143459... |
bert-base-cased-finetuned-mrpc | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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],
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"no_repeat_ngram_size... | 11,644 | 2023-05-19T14:58:03Z | ---
license: apache-2.0
tags:
- trl
- transformers
- reinforcement-learning
---
# TRL Model
This is a [TRL language model](https://github.com/lvwerra/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text ... | [
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bert-base-cased | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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],
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"no_repeat_ngram_size... | 8,621,271 | 2023-05-19T14:58:39Z | ---
language:
- ml
tags:
- audio
- automatic-speech-recognition
license: mit
datasets:
- google/fleurs
- thennal/IMaSC
- mozilla-foundation/common_voice_11_0
library_name: ctranslate2
---
# vegam-whipser-medium-ml (വേഗം)
This is a conversion of [thennal/whisper-medium-ml](https://huggingface.co/thennal/whisper-medium... | [
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bert-base-multilingual-cased | [
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"jax",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"af",
"sq",
"ar",
"an",
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"cv",
"hr",
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"da",
"nl",
"en",
"et",
... | fill-mask | {
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],
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"no_repeat_ngram_size... | 4,749,504 | 2023-05-19T15:01:37Z | ---
license: other
tags:
- stable-diffusion
- safetensors
- text-to-image
library_name: diffusers
inference: false
---
# Realgar-v1.0
This model is a Stable Diffusion model based on WD 1.5 beta 3 base.
This model does not include the NovelAI Leak model.
[WD 1.5 beta3 base](https://huggingface.co/waifu-diffusion/wd-... | [
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bert-large-cased-whole-word-masking-finetuned-squad | [
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"no_repeat_n... | 8,214 | 2023-05-19T15:07:04Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: test_eli5_clm-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. -->
# test_eli5_clm-m... | [
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bert-large-uncased-whole-word-masking-finetuned-squad | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"question-answering",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
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] | question-answering | {
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"no_repeat_n... | 480,510 | 2023-05-19T15:09:31Z | ---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de-fr-it-en-he-ar
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove... | [
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54Tor/test | [] | null | {
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"num_beams... | 0 | 2023-05-19T17:38:08Z | ---
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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AAli/wav2vec2-base-demo-colab | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---
# /var/folders/l0/32nshlfj7rq1xg2dxcjs9y9w0000gn/T/tmp335ynopy/leofn3/modelo_multiclass_teste01
This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classific... | [
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Adil617/wav2vec2-base-timit-demo-colab | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
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"no_repeat_ngram_s... | 4 | null | ---
license:
- cc-by-sa-3.0
- apache-2.0
tags:
- generated_from_trainer
- dolly_hhrlhf
- flan-instruct
datasets:
- pszemraj/dolly_hhrlhf-text2text
widget:
- text: What is Deoxys in pokemon?
example_title: deoxys
- text: >-
combine the below summary excerpts into a single, cohesive short summary
without repet... | [
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0.002609252231195569,
... |
Adityanawal/testmodel_1 | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type:... | [
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Advertisement/FischlUWU | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
---
GLaDOS is a shareGPT model that speaks Markdown!
## Usage
```
import torch
from peft import PeftModel, PeftConfig
from transformers import AutoModelForCausalLM, AutoTokenizer
# Setup Model
path = "JamesConley/glados_together_20b"
config = PeftConfig.from_pretrained(path)
base_model_path =... | [
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Ahda/M | [] | null | {
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language: en
license: other
commercial: no
inference: false
---
# pygmalion-13b-4bit-128g
## Model description
**Warning: THIS model is NOT suitable for use by minors. The model will output X-rated content.**
Quantized from the decoded pygmalion-13b xor format.
**https://huggingface.co/PygmalionAI/pygmalion-13b**
... | [
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AhmedSSoliman/MarianCG-CoNaLa | [
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"transformers",
"autotrain_compatible",
"has_space"
] | text2text-generation | {
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"no_repeat_ngram_size... | 21 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type:... | [
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Aidan8756/stephenKingModel | [] | null | {
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"num_beams... | 0 | null | ---
license: bigcode-openrail-m
---
Note : The adapter and related GLaDOS code is licensed under Apache 2.0- however the base model is licensed under bigcode-openrail-m. Since this adapter utilizes the base model, you still must adhere to the openrail license.
As such I have marked openrail as the license for this mod... | [
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AigizK/wav2vec2-large-xls-r-300m-bashkir-cv7_no_lm | [] | null | {
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license: creativeml-openrail-m
---
<br>
# ■*NuMergeMix*
◎<strong>*NuMergeMix*</strong>は、MBWを用いてU-Netの層ごとの重みをそれぞれマージしたモデルです。<br>
<strong>*NuMergeMix*</strong> is a model that integrates the weights of each U-Net layer using MBW.<br>
◎<strong>*VAE*</strong>は<strong>*kl-f8-anime2.ckpt*</strong>を推奨していますが、どのVAEを使用し... | [
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Akash7897/distilbert-base-uncased-finetuned-sst2 | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | {
"architectures": [
"DistilBertForSequenceClassification"
],
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... | 31 | null | ---
language:
- ml
tags:
- audio
- automatic-speech-recognition
license: mit
datasets:
- google/fleurs
- thennal/IMaSC
- mozilla-foundation/common_voice_11_0
library_name: ctranslate2
---
# vegam-whipser-medium-ml-fp16 (വേഗം)
> This just support Floating point 16 only.
This is a conversion of [thennal/whisper-medium... | [
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Akash7897/gpt2-wikitext2 | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:mit"
] | text-generation | {
"architectures": [
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],
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"no_repeat_ngram_size... | 5 | 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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Akash7897/test-clm | [] | null | {
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"num_beams... | 0 | null | # Fsg_Pp
Finally some good profile pictures!
Got tired of constantly searching for new profile pictures?
Or maybe even just the thought of changing it is a hassle.
Well, Fsg_Pp aims to automate that for you!
Just type what you want to find and it will filter out the best ones for you
## Quick Links
- [Installing an... | [
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0.021504... |
Akiva/Joke | [] | null | {
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"num_beams... | 0 | null | ---
license: bsd-3-clause
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ast_21-finetuned-ICBHI
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this commen... | [
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0.0... |
AkshatSurolia/ViT-FaceMask-Finetuned | [
"pytorch",
"safetensors",
"vit",
"image-classification",
"dataset:Face-Mask18K",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | image-classification | {
"architectures": [
"ViTForImageClassification"
],
"model_type": "vit",
"task_specific_params": {
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},
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"min_length": null,
"no_repeat_n... | 40 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- arcd
model-index:
- name: rinna-roberta-qa-ar
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. -->
# rinna... | [
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Alireza1044/albert-base-v2-mrpc | [
"pytorch",
"tensorboard",
"albert",
"text-classification",
"en",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
"model_type": "albert",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no... | 204 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
# Model Card for RKWTNI
## Model Description
- **Developed by:** BADMONK
- **Model type:** Dreambooth Model + Extracted LoRA
- **Language(s) (NLP):** EN
- **License:** Creativeml-Openrail-M
- **Parent Model:** ChilloutMix
# How to Get St... | [
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Andrija/SRoBERTa-L | [
"pytorch",
"roberta",
"fill-mask",
"hr",
"sr",
"multilingual",
"dataset:oscar",
"dataset:srwac",
"dataset:leipzig",
"transformers",
"masked-lm",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat_ngra... | 58 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
# Model Card for RKWX
## Model Description
- **Developed by:** BADMONK
- **Model type:** Dreambooth Model + Extracted LoRA
- **Language(s) (NLP):** EN
- **License:** Creativeml-Openrail-M
- **Parent Model:** ChilloutMix
# How to Get Star... | [
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0.0... |
AnjanBiswas/distilbert-base-uncased-finetuned-emotion | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"DistilBertForSequenceClassification"
],
"model_type": "distilbert",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
... | 37 | 2023-05-20T10:13:50Z | ---
license: apache-2.0
---
# Model Card for LOGO Image Clip Embeddings
The Aesthetics LOGO image dataset is a collection of logos with ratings. It was used to create the visual scorer that evaluated the images in Laion 5B to create the the Laion-Aesthetics dataset
https://huggingface.co/datasets/ChristophSchuhmann/... | [
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AnnettJaeger/AnneJae | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: w2v2-libri-10min
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. -->
# w2v... | [
-0.025078633800148964,
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... |
AnonARR/qqp-bert | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 38 | null | ---
license: cc-by-sa-4.0
datasets:
- databricks/databricks-dolly-15k
- kunishou/databricks-dolly-15k-ja
language:
- ja
library_name: transformers
pipeline_tag: text-generation
---
[cyberagent/open-calm-7b](https://huggingface.co/cyberagent/open-calm-7b)に対して[kunishou/databricks-dolly-15k-ja](https://huggingface.co/data... | [
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0... |
AnonymousSub/AR_EManuals-RoBERTa | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"RobertaModel"
],
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},
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"min_length": null,
"no_repeat_ngram_size... | 6 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split... | [
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AnonymousSub/AR_declutr | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
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"RobertaModel"
],
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"min_length": null,
"no_repeat_ngram_size... | 5 | null | ---
license: cc-by-nc-sa-4.0
---
# ClimateGPT - ORYX | [
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AnonymousSub/AR_rule_based_hier_quadruplet_epochs_1_shard_1 | [
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```
CUDA_VISIBLE_DEVICES=0 python llama.py /root/llava-13b-v1-1 c4 --wbits 4 --true-sequential --groupsize 128 --save_safetensors llava-13b-v1-1-4bit-128g.safetensors
```
using https://github.com/oobabooga/GPTQ-for-LLaMa CUDA branch
---
license: other
--- | [
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license: other
language:
- zh
tags:
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- Vicuna
- 7B
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pipeline_tag: text-generation
---
chinese-vicuna-7b是一个基于中文LLaMA模型和指令精调的Alpaca大模型的开源项目。该模型在原版Vicuna的基础上扩充了中文词表并使用了中文数据进行二次预训练，进一步提升了中文基础语义理解能力。与chinese-vicuna-13b相比，该模型的规模更小，但仍然具备优秀的语义理解能力。该项目的目的是促进大模型在中文NLP社区的开放研究，为构建透明且开放的学术研究提供支持。 | [
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tags:
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license: apache-2.0
tags:
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model-index:
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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. -->
# bwl_assignment_1
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license: mit
tags:
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metrics:
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model-index:
- name: student_offense_noise_simplu_ok
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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library_name: sample-factory
tags:
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- reinforcement-learning
- sample-factory
model-index:
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results:
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license: apache-2.0
tags:
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metrics:
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model-index:
- name: Baseline_100Kphish_benignWinter_20_20_20
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
tags:
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- text-to-image
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inference: true
---
# controlnet-Abrumu/controlnet_v3
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license: openrail
datasets:
- bertin-project/alpaca-spanish
language:
- es
pipeline_tag: text-generation
tags:
- Transformers
- bertin-project/alpaca-spanish
- gptj
- PyTorch
- alpaca
- llm spanish
---
<strong><span style="font-size: larger;">bertin-gpt-j-6B-alpaca-8bit-128g 🤗</span></strong>
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library_name: stable-baselines3
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library_name: stable-baselines3
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library_name: stable-baselines3
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results:
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library_name: stable-baselines3
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license: apache-2.0
datasets:
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library_name: transformers
tags:
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---
Finetuned for python completion from base: the https://huggingface.co/theblackcat102/pythia-3b-deduped-sft-r1 model
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license: apache-2.0
tags:
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---
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tags:
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AnonymousSub/consert-s10-SR | [
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"no_rep... | 28 | null | # 经过本人合成及量化的 13B plus 模型
<hr>
> #### 开这个仓，主要是为了给大家讲述使用方法，这玩意儿真得自己摸索啊。
### 使用方法
移动本仓库中的 `alpaca-13b-plus` 文件夹到你项目的`./models`文件下即可。该文件夹同时适用于`llama.cpp`和`text-generation-webui`。
### 使用体验
效果确实比 13b 好了不少，能写出比较长的文字了，速度没有明显变化，本模型运行时需要 9.2GB 内存，未进行格式转换和量化时需要 50GB 内存，太吓人了，速度还只有十分之一。
### 资料来源
13b 已合并文件是从 https://huggingfa... | [
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"no_repeat_n... | 4 | 2023-05-20T14:45:20Z | Cosplay-ChatGLM-lora模型是在ChatGLM-6B模型的基础上，使用LoRA在四大名著对话数据上微调得到的。 | [
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"no_repeat_ngra... | 4 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bert-base-Daichi_support
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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"no_re... | 2 | 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
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"no_repeat_ngra... | 4 | null | Access to model zhixuan2/training_data2 is restricted and you are not in the authorized list. Visit https://huggingface.co/zhixuan2/training_data2 to ask for access. | [
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"... | 36 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: distilbert-base-uncased-finetuned-squad_v2_5
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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"no_rep... | 39 | null |
---
license: creativeml-openrail-m
base_model: stabilityai/stable-diffusion-2-1
instance_prompt: a photo of <rickmann>
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- dreambooth
inference: true
---
# DreamBooth - patrickvonplaten/papa_out
This is a dreambooth model derived fro... | [
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license: apache-2.0
tags:
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datasets:
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metrics:
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- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
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name: Text Classification
type: text-classification
dataset:
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AnonymousSub/rule_based_bert_mean_diff_epochs_1_shard_1 | [
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"no_repeat_ngram_size": nul... | 3 | 2023-05-20T15:27:31Z | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: gskalele/gsk_qa_model
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. -->
# gskalele/gsk... | [
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"no_repeat_ngram_size": nul... | 6 | null | New run. More curated, bigger model, no dupes, no refusals, higher rank, 512 context.
What does it do: https://postimg.cc/gallery/VSYpPR8
Why only 512? 512 is bigger than the largest message I've found in the dataset. Messages are independent rather than sequential RP.
It also writes longer and emotes more. | [
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"no_repeat_ngram_size... | 9 | null | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
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"no_re... | 10 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: distilbert-base-uncased-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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"no_re... | 8 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-en-ru-finetuned-en-to-ru
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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"num_beams... | 0 | null | WandB: https://wandb.ai/wing-lian/lora-experiment?workspace=user-wing-lian | [
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"num_beams... | 0 | null | Neil DeGrasse Tyson Model file. This is for use with Tortoise TTS.
If you found this helpful please credit my youtube : https://www.youtube.com/channel/UCg_TbkAQVs_qvimShR08IYw
Discord : https://discord.gg/PdYFs7qmSW
license: artistic-2.0
---
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AriakimTaiyo/DialoGPT-revised-Kumiko | [
"pytorch",
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"text-generation",
"transformers",
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] | conversational | {
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"no_repeat_ngram_size... | 6 | 2023-05-20T20:03:20Z | ---
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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Aries/T5_question_generation | [
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"text2text-generation",
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] | text2text-generation | {
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"no_repeat_ngram_s... | 13 | 2023-05-20T20:19:51Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- recall
- precision
- accuracy
- f1
model-index:
- name: kematangan-pisang-vit-b-32-100eph-224-v2.5
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofr... | [
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ArjunKadya/HuggingFace | [] | null | {
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"num_beams... | 0 | 2023-05-20T20:21:07Z | ---
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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0.0... |
Arnold/wav2vec2-hausa2-demo-colab | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
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"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 9 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
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... |
ArseniyBolotin/bert-multi-PAD-ner | [
"pytorch",
"jax",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
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},
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"max_length": null,
"min_length": null,
"no_repeat... | 11 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- recall
- precision
- accuracy
- f1
model-index:
- name: kematangan-pisang-vit-l-16-100eph-224-v2.5
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofr... | [
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... |
ArshdeepSekhon050/DialoGPT-medium-RickAndMorty | [] | null | {
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},
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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ArtemisZealot/DialoGTP-small-Qkarin | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"min_length": null,
"no_repeat_ngram_size... | 9 | 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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},
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"num_beams... | 0 | null | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
type: Frozen... | [
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... |
Aspect11/DialoGPT-Medium-LiSBot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: lg_mBart50_large_torch
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. -->
# lg... | [
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0.0517... |
Ateeb/EmotionDetector | [
"pytorch",
"funnel",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"FunnelForSequenceClassification"
],
"model_type": "funnel",
"task_specific_params": {
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},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no... | 32 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: distilbert_based_classifier_with_newsgroups
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 commen... | [
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0.01721937581896782,
0... |
Atlasky/Turkish-Negator | [] | null | {
"architectures": null,
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},
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"num_beams... | 0 | 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: 7.52 +/- 2.62... | [
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0.026... |
Atlasky/turkish-negator-nn | [] | null | {
"architectures": null,
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},
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"num_beams... | 0 | null | ---
license:
- apache-2.0
- cc-by-sa-3.0
tags:
- generated_from_trainer
- dolly_hhrlhf
- bart-instruct
datasets:
- pszemraj/dolly_hhrlhf-text2text
widget:
- text: What is Deoxys in pokemon?
example_title: deoxys
- text: >-
combine the below summary excerpts into a single, cohesive short summary
without repet... | [
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0.042... |
Augustvember/WokkaBot5 | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
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},
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"num_beams... | 0 | 2023-05-20T22:41:15Z | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: GPT2-SyntheticData
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-SyntheticData
Thi... | [
-0.03107534535229206,
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0.004212457686662674,
0.04... |
Augustvember/WokkaBot7 | [] | null | {
"architectures": null,
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},
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"num_beams... | 0 | 2023-05-20T22:44:35Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cppe-5
model-index:
- name: detr-resnet-50_finetuned_cppe5
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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0... |
Augustvember/wokka2 | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 12 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-Pixelcopter-v0
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
... | [
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Ayham/roberta_bert_summarization_cnn_dailymail | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"EncoderDecoderModel"
],
"model_type": "encoder-decoder",
"task_specific_params": {
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"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 12 | 2023-05-21T01:51:47Z | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: assignment-1a
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. -->
# assignment-1a
This ... | [
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0.... |
Ayham/roberta_roberta_summarization_cnn_dailymail | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"EncoderDecoderModel"
],
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},
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"max_length": null,
"min_length": null,
"no_re... | 3 | 2023-05-21T02:08:09Z | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---
# HamzaFarhan/PDFSegs
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 tec... | [
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Ayham/robertagpt2_cnn | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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"EncoderDecoderModel"
],
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},
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"max_length": null,
"min_length": null,
"no_re... | 4 | 2023-05-21T05:00:10Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- recall
- precision
- accuracy
- f1
model-index:
- name: kematangan-pisang-vit-h-14-100eph-224-v2.5
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofr... | [
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... |
Ayham/xlmroberta_gpt2_summarization_xsum | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:xsum",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"EncoderDecoderModel"
],
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"task_specific_params": {
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},
"summarization": {
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"max_length": null,
"min_length": null,
"no_re... | 9 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: lmattingly/imdb__text_classification
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. -->
... | [
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0.... |
Ayoola/pytorch_model | [] | null | {
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},
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- yelp_review_full
metrics:
- accuracy
model-index:
- name: test_trainer
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: yelp_review_full
type: yelp_review_full
config: yelp_review_... | [
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... |
Ayran/DialoGPT-medium-harry-potter-1-through-4-plus-6-e18 | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 12 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: JesusPorto/Demeter
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. -->
# JesusPorto/Deme... | [
-0.033563412725925446,
-0.027715351432561874,
0.010998395271599293,
0.013826245442032814,
0.03626132383942604,
0.003429758595302701,
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0.05416128411889076,
0.001203470746986568,
-0.022926989942789078,
0.030039891600608826,
... |
Azaghast/GPT2-SCP-Descriptions | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 5 | 2023-05-21T03:52:41Z | ---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finance_news_classifier
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. -->
# finance_new... | [
-0.025628549978137016,
-0.015859294682741165,
-0.01134964358061552,
0.039307206869125366,
0.041105661541223526,
0.044585175812244415,
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-0.022250443696975708,
-0.036426398903131485,
0.03632047027349472,
0.03354436531662941,
-0.02734728716313839,
-0.0075531755574047565,
... |
BSC-LT/RoBERTalex | [
"pytorch",
"roberta",
"fill-mask",
"es",
"dataset:legal_ES",
"dataset:temu_legal",
"arxiv:2110.12201",
"transformers",
"legal",
"spanish",
"license:apache-2.0",
"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... | 24 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: bert_small
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... | [
-0.0053404467180371284,
0.01734309084713459,
-0.023104975000023842,
0.032591670751571655,
0.0267019122838974,
0.01097713690251112,
-0.01837550848722458,
-0.023635953664779663,
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0.06267853081226349,
0.011522017419338226,
-0.043552037328481674,
0.018392175436019897,
0.0... |
BSC-LT/roberta-base-bne-capitel-pos | [
"pytorch",
"roberta",
"token-classification",
"es",
"dataset:bne",
"dataset:capitel",
"arxiv:1907.11692",
"arxiv:2107.07253",
"transformers",
"national library of spain",
"spanish",
"bne",
"capitel",
"pos",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"RobertaForTokenClassification"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_... | 14 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: gpt2_small
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this c... | [
-0.015684615820646286,
0.005226470995694399,
-0.007226129062473774,
0.033131565898656845,
0.02053685672581196,
0.016048548743128777,
-0.004538498353213072,
-0.0016932436265051365,
-0.04410071671009064,
0.060099996626377106,
0.016795463860034943,
-0.04016966000199318,
0.017409123480319977,
... |
BSC-LT/roberta-large-bne-capitel-pos | [
"pytorch",
"roberta",
"token-classification",
"es",
"dataset:bne",
"dataset:capitel",
"arxiv:1907.11692",
"arxiv:2107.07253",
"transformers",
"national library of spain",
"spanish",
"bne",
"capitel",
"pos",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"RobertaForTokenClassification"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_... | 13 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste... | [
-0.03682786226272583,
-0.017038146033883095,
-0.016540275886654854,
0.0510595329105854,
0.01117929257452488,
0.04447409510612488,
-0.01840854622423649,
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-0.070090651512146,
0.08364398777484894,
0.03946809098124504,
0.013144438154995441,
0.00234610796906054,
0.04092745... |
BSC-LT/roberta-large-bne | [
"pytorch",
"roberta",
"fill-mask",
"es",
"dataset:bne",
"arxiv:1907.11692",
"arxiv:2107.07253",
"transformers",
"national library of spain",
"spanish",
"bne",
"license:apache-2.0",
"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... | 24 | 2023-05-21T05:08:53Z | ---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ko-finance_news_classifier
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. -->
# ko-finan... | [
-0.03624981641769409,
-0.013513016514480114,
0.0014521008124575019,
0.027429616078734398,
0.04111345112323761,
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0.04242406785488129,
0.019173171371221542,
-0.026095157489180565,
-0.0060577187687158585,
... |
Backedman/DialoGPT-small-Anika | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 6 | 2023-05-21T05:19:18Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert_large_subjqa_model_v4
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. -->
# bert_lar... | [
-0.017807092517614365,
-0.0056619481183588505,
-0.010175703093409538,
0.05108903348445892,
0.04429056867957115,
-0.004218024201691151,
-0.01806662231683731,
-0.01778123527765274,
-0.022977663204073906,
0.03564982861280441,
-0.005783454980701208,
-0.027491914108395576,
0.021690502762794495,
... |
Bala/model_name | [] | 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: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: Onlyphish_100KP_BFall_fromB_20KGen_topP_0.75
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proo... | [
-0.024911385029554367,
0.005345224402844906,
-0.007751407567411661,
0.013860146515071392,
0.012083709239959717,
0.0018606963567435741,
-0.012650860473513603,
-0.005845785140991211,
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0.05666239932179451,
0.010313020087778568,
-0.036664996296167374,
0.024921944364905357,
... |
Balgow/prod_desc | [] | 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 | 2023-05-21T06:13:35Z | ---
license: mit
datasets:
- inkoziev/incomplete_utterance_restoration
language:
- ru
widget:
- text: '<SC1>- Как тебя зовут?\n- Джульетта Мао\nРазвернутый ответ: <extra_id_0>'
- text: '<SC1>- А живешь где?\n- В поясе астероидов\nРазвернутый ответ: <extra_id_0>'
pipeline_tag: text2text-generation
---
# Den4ikAI/FRED-T5... | [
-0.01505018025636673,
-0.023804331198334694,
0.0032840799540281296,
0.023629790171980858,
0.06122193858027458,
0.030926823616027832,
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-0.0043523130007088184,
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0.04947294294834137,
0.04837239906191826,
-0.017331235110759735,
0.0003651528968475759,
... |
BaptisteDoyen/camembert-base-xnli | [
"pytorch",
"tf",
"camembert",
"text-classification",
"fr",
"dataset:xnli",
"transformers",
"zero-shot-classification",
"xnli",
"nli",
"license:mit",
"has_space"
] | zero-shot-classification | {
"architectures": [
"CamembertForSequenceClassification"
],
"model_type": "camembert",
"task_specific_params": {
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"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 405,474 | null | ---
license: cc-by-sa-3.0
datasets:
- databricks/databricks-dolly-15k
- kunishou/databricks-dolly-69k-ja-en-translation
language:
- ja
- en
library_name: transformers
pipeline_tag: text-generation
---
[cyberagent/open-calm-7b](https://huggingface.co/cyberagent/open-calm-7b)に対して[kunishou/databricks-dolly-69k-ja-en-trans... | [
-0.025992756709456444,
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0.08064571768045425,
0.019759679213166237,
-0.020852146670222282,
0.0035096241626888514,
... |
BatuhanYilmaz/bert-finetuned-mrpc | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2023-05-21T06:42:54Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split... | [
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0.034429408609867096,
0.0447... |
Bhumika/roberta-base-finetuned-sst2 | [
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | {
"architectures": [
"RobertaForSequenceClassification"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
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"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"... | 85 | 2023-05-21T08:06:39Z | ---
pipeline_tag: image-classification
library_name: keras
--- | [
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0.01675744354724884,
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0.05137332156300545,
0.0076919011771678925,
-0.008263708092272282,
-0.004758996888995171,
0.0... |
Biasface/DDDC2 | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 10 | 2023-05-21T08:15:34Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- amazon_us_reviews
metrics:
- accuracy
model-index:
- name: bert_category_prediction_amazon_book_reviews
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: amazon_us_reviews
type: amazon_us... | [
-0.024083532392978668,
0.005974057596176863,
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0.0663018748164177,
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0.055940695106983185,
0.008744746446609497,
-0.0031923598144203424,
0.... |
BigSalmon/FormalRobertaa | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 5 | 2023-05-21T08:30:56Z | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v2
type: PandaReach... | [
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0.05694441497325897,
0.02499176748096943,
-0.0028563535306602716,
0.0314725786447525,
0.0028... |
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