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text-classification | transformers |
<!-- 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. -->
# HSE_PRAVO_complexity_classifier2
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.co/ai-foreve... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "HSE_PRAVO_complexity_classifier2", "results": []}]} | marcus2000/HSE_PRAVO_complexity_classifier2 | null | [
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"region:us"
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#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# HSE_PRAVO_complexity_classifier2
This model is a fine-tuned version of ai-forever/ruBert-base on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training ... | [
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text-generation | transformers |
# Tess-2.0-Mixtral-8x22B
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B was trained on the mistral-community/Mixtral-8x22B-v0.1 base.
# Prompt Format
``... | {"license": "apache-2.0"} | blockblockblock/Tess-2.0-Mixtral-8x22B-bpw4.2 | null | [
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#transformers #safetensors #mixtral #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
!Tesoro
# Tess-2.0-Mixtral-8x22B
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B was trained on the mistral-community/Mixtral-8x22B-v0.1 base.
# Prompt Format
# Training Methodology
Tess-2.0-Mixtral-8x22B was trained on the Tess-2.0 dataset. T... | [
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null | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | elyadenysova/falcon-7b-sileod_3 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
# 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. -->
- **Developed by:** [More Information Needed]
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# Model Card for Model ID
## Model Details
### Model Description
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text-classification | keras-nlp | This is a [`Bert` model](https://keras.io/api/keras_nlp/models/bert) uploaded using the KerasNLP library.
This model is related to a `Classifier` task.
Model config:
* **name:** bert_backbone
* **trainable:** True
* **vocabulary_size:** 30522
* **num_layers:** 2
* **num_heads:** 2
* **hidden_dim:** 128
* **intermediat... | {"library_name": "keras-nlp", "pipeline_tag": "text-classification"} | samanehs/bert_tiny_en_uncased_classifier | null | [
"keras-nlp",
"text-classification",
"region:us"
] | null | 2024-04-17T19:53:33+00:00 | [] | [] | TAGS
#keras-nlp #text-classification #region-us
| This is a 'Bert' model uploaded using the KerasNLP library.
This model is related to a 'Classifier' task.
Model config:
* name: bert_backbone
* trainable: True
* vocabulary_size: 30522
* num_layers: 2
* num_heads: 2
* hidden_dim: 128
* intermediate_dim: 512
* dropout: 0.1
* max_sequence_length: 512
* num_segments: 2
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text-generation | transformers | GGUF: https://huggingface.co/Sao10K/Franziska-Maxtral-8x22B-v1-GGUF
An experiment. Maxtral model lora-finetune of my own + merged with i think it was Tess at a low weight, slerp or something together.
the raw adapter was slopped despite trained on base so thats why I added Tess, it helped somewhat.
So it is a merge ... | {"language": ["en"], "license": "cc-by-nc-4.0"} | Sao10K/Franziska-Maxtral-8x22B-v1 | null | [
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| GGUF: URL
An experiment. Maxtral model lora-finetune of my own + merged with i think it was Tess at a low weight, slerp or something together.
the raw adapter was slopped despite trained on base so thats why I added Tess, it helped somewhat.
So it is a merge yes, at the same time part of the model is mine.
kinda me... | [] | [
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question-answering | transformers |
<!-- 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. -->
# results
This model is a fine-tuned version of [google/electra-small-generator](https://huggingface.co/google/electra-small-gener... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/electra-small-generator", "model-index": [{"name": "results", "results": []}]} | SimmiSingh22299/results | null | [
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#transformers #safetensors #electra #question-answering #generated_from_trainer #base_model-google/electra-small-generator #license-apache-2.0 #endpoints_compatible #region-us
| results
=======
This model is a fine-tuned version of google/electra-small-generator on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 4.8868
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More informati... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
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token-classification | transformers |
<!-- 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-finetuned-ner3
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknow... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-ner3", "results": []}]} | BrandonM001/bert-finetuned-ner3 | null | [
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| bert-finetuned-ner3
===================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0597
* Precision: 0.9337
* Recall: 0.9504
* F1: 0.9420
* Accuracy: 0.9869
Model description
-----------------
More information n... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# Text-to-image finetuning - BlackSadadou/SD-Black-IMGgen-Model-v2
This pipeline was finetuned from **CompVis/stable-diff... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training"], "inference": true, "base_model": "CompVi... | BlackSadadou/SD-Black-IMGgen-Model-v2 | null | [
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|
# Text-to-image finetuning - BlackSadadou/SD-Black-IMGgen-Model-v2
This pipeline was finetuned from CompVis/stable-diffusion-v1-4 on the BlackSadadou/STBlackIMGgen dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ["Illustration graphique d'un Chat dans le st... | [
"# Text-to-image finetuning - BlackSadadou/SD-Black-IMGgen-Model-v2\n\nThis pipeline was finetuned from CompVis/stable-diffusion-v1-4 on the BlackSadadou/STBlackIMGgen dataset. Below are some example images generated with the finetuned pipeline using the following prompts: [\"Illustration graphique d'un Chat dans l... | [
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null | null |
# OpenELM: An Efficient Language Model Family with Open Training and Inference Framework
*Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari*
We introduce **OpenELM**, a family of **Open** **... | {"license": "other", "license_name": "apple-sample-code-license", "license_link": "LICENSE"} | apple/OpenELM | null | [
"arxiv:2404.14619",
"license:other",
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"2404.14619"
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#arxiv-2404.14619 #license-other #has_space #region-us
| OpenELM: An Efficient Language Model Family with Open Training and Inference Framework
======================================================================================
*Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Pe... | [
"### Zero-Shot",
"### LLM360",
"### OpenLLM Leaderboard\n\n\n\nSee the technical report for more results and comparison.\n\n\nEvaluation\n----------",
"### Setup\n\n\nInstall the following dependencies:",
"### Evaluate OpenELM\n\n\nBias, Risks, and Limitations\n----------------------------\n\n\nThe release ... | [
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null | peft |
<!-- 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. -->
# model_hh_usp4_200
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_hh_usp4_200", "results": []}]} | guoyu-zhang/model_hh_usp4_200 | null | [
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"base_model:meta-llama/Llama-2-7b-chat-hf",
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"region:us"
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us
| model\_hh\_usp4\_200
====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2047
* Rewards/chosen: -10.4203
* Rewards/rejected: -11.3883
* Rewards/accuracies: 0.6100
* Rewards/margins: 0.9680
... | [
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null | peft |
<!-- 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. -->
# model_hh_usp2_200
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_hh_usp2_200", "results": []}]} | guoyu-zhang/model_hh_usp2_200 | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us
| model\_hh\_usp2\_200
====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
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* Loss: 1.7539
* Rewards/chosen: -6.1342
* Rewards/rejected: -7.0734
* Rewards/accuracies: 0.5500
* Rewards/margins: 0.9392
* ... | [
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null | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | natuancf/mistral_7b_guanaco | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
# Shadowm7expExperiment27pastiche-7B
Shadowm7expExperiment27pastiche-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [automerger/Experiment27Pastiche-7B](https://huggingface.co/automerger/Experiment27Pastiche-7B)
## 🧩 Configuration
```yaml
... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["automerger/Experiment27Pastiche-7B"]} | automerger/Shadowm7expExperiment27pastiche-7B | null | [
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|
# Shadowm7expExperiment27pastiche-7B
Shadowm7expExperiment27pastiche-7B is an automated merge created by Maxime Labonne using the following configuration.
* automerger/Experiment27Pastiche-7B
## Configuration
## Usage
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text-classification | transformers |
<!-- 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. -->
# emotions_distilbert_im
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-un... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "emotions_distilbert_im", "results": []}]} | yunaseo/emotions_distilbert_im | null | [
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| emotions\_distilbert\_im
========================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5190
* F1 Micro: 0.6929
* F1 Macro: 0.5934
* Accuracy: 0.2362
Model description
-----------------
More informa... | [
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object-detection | transformers |
<!-- 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. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | marie434/detr | null | [
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| detr
====
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9455
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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null | peft |
<!-- 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. -->
# phi-1_5-finetuned-addition-v2
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-addition-v2", "results": []}]} | Antonilyin/phi-1_5-finetuned-addition-v2 | null | [
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| phi-1\_5-finetuned-addition-v2
==============================
This model is a fine-tuned version of microsoft/phi-1\_5 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.9705
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
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text-generation | transformers |
# Baby Nandi
Baby Nandi (part of the Nandi series of Telugu LLMs) is a Telugu Instruction Tuned Version of Gemma 2B, part of an attempt to develop smaller and efficient Indic LLMs, useful for practical purposes.
It beats the original gemma-2b overall, but still is behind the latest gemma-2b-1.1-it.
**🏆 Benchmarks**
... | {"license": "apache-2.0"} | bharadwajswarna/gemma-2b-sft-telugu | null | [
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| Baby Nandi
==========
Baby Nandi (part of the Nandi series of Telugu LLMs) is a Telugu Instruction Tuned Version of Gemma 2B, part of an attempt to develop smaller and efficient Indic LLMs, useful for practical purposes.
It beats the original gemma-2b overall, but still is behind the latest gemma-2b-1.1-it.
Benchma... | [] | [
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image-classification | transformers |
<!-- 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. -->
# swin-tiny-patch4-window7-224-Kontur-competition-52K
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-22... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-Kontur-competition-52K", "results": []}]} | t1msan/swin-tiny-patch4-window7-224-Kontur-competition-52K | null | [
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| swin-tiny-patch4-window7-224-Kontur-competition-52K
===================================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0200
Model description
---------------... | [
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token-classification | transformers |
<!-- 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. -->
# xlm-roberta-base-finetuned-panx-it
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-it", "results": []}]} | taoyoung/xlm-roberta-base-finetuned-panx-it | null | [
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] | null | 2024-04-17T20:13:13+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-it
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2845
* F1: 0.8489
Model description
-----------------
More information needed
Intended uses & l... | [
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null | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | elyadenysova/falcon-7b-sileod_4 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
# Model Card for Model ID
Kevin is the world's first AI Manager. Expect Kevin to be on your ass 24/7, berating you for the smallest of things and crucifying you for every small mistake.
## Model Details
### Model Description
Need some personal time off?
Kevin doesn't think so.. when there are seats to be warmed... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | riteshshergill/kevin-the-ai-manager | null | [
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# Model Card for Model ID
Kevin is the world's first AI Manager. Expect Kevin to be on your ass 24/7, berating you for the smallest of things and crucifying you for every small mistake.
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null | null |
# KenLM (arpa) models for English based on Wikipedia
This repository contains KenLM models (n=5) for English, based on the [English portion of Wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia/viewer/20231101.en) - sentence-segmented (one sentence per line). Models are provided on tokens, part-of-speech... | {"language": ["en"], "license": "apache-2.0", "tags": ["kenlm"]} | BramVanroy/kenlm_wikipedia_en | null | [
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|
# KenLM (arpa) models for English based on Wikipedia
This repository contains KenLM models (n=5) for English, based on the English portion of Wikipedia - sentence-segmented (one sentence per line). Models are provided on tokens, part-of-speech, dependency labels, and lemmas, as processed with spaCy 'en_core_web_sm':... | [
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null | null |
## Model Description
This model employs a MobileNetV3 architecture fine-tuned for the detection of pneumonia from chest X-ray images. It is designed to assist radiologists by providing a preliminary automated diagnosis.
tetststtststststtstst
## Training Data
The model was trained on the [Kaggle Pneumonia dataset](htt... | {"tags": ["deep-learning", "medical-imaging", "computer-vision", "pneumonia-detection"], "title": "Pneumonia Detection from X-ray Images", "emoji": "\ud83c\udfe5", "colorFrom": "blue", "colorTo": "indigo", "sdk": "gradio", "sdk_version": "3.0", "python_version": "3.10", "suggested_hardware": "cpu-upgrade", "app_file": ... | ziaddBou/pneumodoc-model | null | [
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#deep-learning #medical-imaging #computer-vision #pneumonia-detection #region-us
|
## Model Description
This model employs a MobileNetV3 architecture fine-tuned for the detection of pneumonia from chest X-ray images. It is designed to assist radiologists by providing a preliminary automated diagnosis.
tetststtststststtstst
## Training Data
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null | transformers |
# Uploaded model
- **Developed by:** ababio
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | ababio/gemma-7b-it_en2twi | null | [
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|
# Uploaded model
- Developed by: ababio
- License: apache-2.0
- Finetuned from model : unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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audio-classification | transformers |
<!-- 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. -->
# distilhubert-finetuned-gtzan
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/disti... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["gtzan"], "metrics": ["accuracy"], "base_model": "ntu-spml/distilhubert", "model-index": [{"name": "distilhubert-finetuned-gtzan", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name": "gtzan"... | pchopalli/distilhubert-finetuned-gtzan | null | [
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| distilhubert-finetuned-gtzan
============================
This model is a fine-tuned version of ntu-spml/distilhubert on the gtzan dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1873
* Accuracy: 0.73
Model description
-----------------
More information needed
Intended uses & limit... | [
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null | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | elyadenysova/falcon-7b-sileod_5 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Gemma 2B Translation v0.101
- Eval Loss: `0.78991`
- Train Loss: `0.76788`
- lr: `3e-05`
- optimizer: adamw
- lr_scheduler_type: cosine
## Prompt Template
```
<bos>### English
Hamsters don't eat cats.
### Korean
햄스터는 고양이를 먹지 않습니다.<eos>
```
## Model Description
- **Developed by:** `lemon-mint`
- **Model typ... | {"language": ["ko"], "license": "gemma", "library_name": "transformers", "tags": ["gemma", "pytorch", "instruct", "finetune", "translation"], "widget": [{"messages": [{"role": "user", "content": "Hamsters don't eat cats."}]}], "inference": {"parameters": {"max_new_tokens": 2048}}, "base_model": "beomi/gemma-ko-2b", "pi... | lemon-mint/gemma-2b-translation-v0.101 | null | [
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|
# Gemma 2B Translation v0.101
- Eval Loss: '0.78991'
- Train Loss: '0.76788'
- lr: '3e-05'
- optimizer: adamw
- lr_scheduler_type: cosine
## Prompt Template
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- License: gemma-terms-of-use
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text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | wintercoming6/Mixtral-7B-AIPI-finetune | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | elyadenysova/falcon-7b-sileod_6 | null | [
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text-classification | transformers |
<!-- 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. -->
# multilingual-e5-large-guardrail-toxicity-classifier-training_1000
This model is a fine-tuned version of [intfloat/multilingual-e... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "intfloat/multilingual-e5-large", "model-index": [{"name": "multilingual-e5-large-guardrail-toxicity-classifier-training_1000", "results": []}]} | tosh97/multilingual-e5-large-guardrail-toxicity-classifier-training_1000 | null | [
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|
# multilingual-e5-large-guardrail-toxicity-classifier-training_1000
This model is a fine-tuned version of intfloat/multilingual-e5-large on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information n... | [
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"## Intended uses & limitations\n\nMore information needed",
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text-generation | null | 
# Model Card for Coxcomb
A creative writing model, using the superb [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2) as a base, finetuned on GPT-4 outputs to a diverse vari... | {"language": ["en"], "license": "apache-2.0", "datasets": ["N8Programs/CreativeGPT"], "pipeline_tag": "text-generation"} | N8Programs/Coxcomb-GGUF | null | [
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#gguf #text-generation #en #dataset-N8Programs/CreativeGPT #license-apache-2.0 #region-us
| !image/png
# Model Card for Coxcomb
A creative writing model, using the superb senseable/WestLake-7B-v2 as a base, finetuned on GPT-4 outputs to a diverse variety of prompts. It in no way competes with GPT-4 - it's quality of writing is below it, and it is primarily meant to be run in offline, local environments.
On ... | [
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token-classification | transformers |
<!-- 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. -->
# xlm-roberta-base-finetuned-panx-en
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-en", "results": []}]} | taoyoung/xlm-roberta-base-finetuned-panx-en | null | [
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"license:mit",
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"region:us"
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| xlm-roberta-base-finetuned-panx-en
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4088
* F1: 0.7171
Model description
-----------------
More information needed
Intended uses & l... | [
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text-classification | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | PavanDeepak/bert_large_uncased_iab_categories_synthetic_data | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | elyadenysova/falcon-7b-sileod_7 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | # Mixtral-8x22B-Instruct-v0.1-GGUF
- Original model: [Mixtral-8x22B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1)
<!-- description start -->
## Description
This repo contains GGUF format model files for [Mixtral-8x22B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x22B-Instruc... | {"language": ["en", "es", "it", "de", "fr"], "license": "apache-2.0", "tags": ["GGUF"], "quantized_by": "andrijdavid"} | LiteLLMs/Mixtral-8x22B-Instruct-v0.1-GGUF | null | [
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#gguf #GGUF #en #es #it #de #fr #license-apache-2.0 #region-us
| # Mixtral-8x22B-Instruct-v0.1-GGUF
- Original model: Mixtral-8x22B-Instruct-v0.1
## Description
This repo contains GGUF format model files for Mixtral-8x22B-Instruct-v0.1.
### About GGUF
GGUF is a new format introduced by the URL team on August 21st 2023. It is a replacement for GGML, which is no longer supported... | [
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text-to-image | diffusers |
# DreamPhoto Gorgeous Advanced Sexy Model
Samples and prompts:
(Click for larger)
Top left: Woman Amazon, Brazilian 1girl "amazon_woman face" wearing bikini and 1man... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["Photorealistic", "Realism", "Girls", "epinikion", "text-to-image", "stable-diffusion", "stable-diffusion-diffusers", "diffusers"], "pipeline_tag": "text-to-image"} | Yntec/DreamPhotoGASM | null | [
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"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-17T20:41:17+00:00 | [] | [] | TAGS
#diffusers #safetensors #Photorealistic #Realism #Girls #epinikion #text-to-image #stable-diffusion #stable-diffusion-diffusers #license-creativeml-openrail-m #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us
|
# DreamPhoto Gorgeous Advanced Sexy Model
Samples and prompts:
!Free AI image generator Dream Photo gasm
(Click for larger)
Top left: Woman Amazon, Brazilian 1girl "amazon_woman face" wearing bikini and 1man "male face" wearing swim shorts, Scenario, official art, beautiful and aesthetic, colorful, realistic light... | [
"# DreamPhoto Gorgeous Advanced Sexy Model\n\nSamples and prompts:\n\n!Free AI image generator Dream Photo gasm\n\n(Click for larger)\n\nTop left: Woman Amazon, Brazilian 1girl \"amazon_woman face\" wearing bikini and 1man \"male face\" wearing swim shorts, Scenario, official art, beautiful and aesthetic, colorful,... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Statuo/LemonWizardv3
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a w... | {"language": ["en"], "library_name": "transformers", "base_model": "Statuo/LemonWizardv3", "quantized_by": "mradermacher"} | mradermacher/LemonWizardv3-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:Statuo/LemonWizardv3",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T20:42:10+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-Statuo/LemonWizardv3 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers | This is a conversion of [cyberagent/calm2-7b-chat-dpo-experimental](https://huggingface.co/cyberagent/calm2-7b-chat-dpo-experimental) to float16 so you can save space on your hardrive instead of having to download float32 weights of this model.
# Original model card:
# Model Card for "calm2-7b-chat-dpo-experimental"
... | {"language": ["ja", "en"], "license": "cc-by-4.0", "datasets": ["cyberagent/chatbot-arena-ja-calm2-7b-chat-experimental"], "base_model": "cyberagent/calm2-7b-chat"} | mpasila/calm2-7b-chat-dpo-experimental-float16 | null | [
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| This is a conversion of cyberagent/calm2-7b-chat-dpo-experimental to float16 so you can save space on your hardrive instead of having to download float32 weights of this model.
Original model card:
====================
Model Card for "calm2-7b-chat-dpo-experimental"
===============================================
... | [
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text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | NaomhSpartak/MaxF | null | [
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text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ekle-me/gemma-Code-Instruct-Finetune-test-100 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# WizardLM-2-4x7B-MoE-exl2-3_5bpw
This is a quantized version of [WizardLM-2-4x7B-MoE](https://huggingface.co/Skylaude/WizardLM-2-4x7B-MoE) an experimental MoE model made with [Mergekit](https://github.com/arcee-ai/mergekit). Quantization was done using version 0.0.18 of [ExLlamaV2](https://github.com/turboderp/exlla... | {"license": "apache-2.0", "tags": ["MoE", "merge", "mergekit", "Mistral", "Microsoft/WizardLM-2-7B"]} | Skylaude/WizardLM-2-4x7B-MoE-exl2-3_5bpw | null | [
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|
# WizardLM-2-4x7B-MoE-exl2-3_5bpw
This is a quantized version of WizardLM-2-4x7B-MoE an experimental MoE model made with Mergekit. Quantization was done using version 0.0.18 of ExLlamaV2.
Please be sure to set experts per token to 4 for the best results! Context length should be the same as Mistral-7B-Instruct-v0.1... | [
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text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | wintercoming6/Mixtral-7B-AIPI-finetune-no-quantization | null | [
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"text-generation-inference",
"region:us"
] | null | 2024-04-17T20:49:29+00:00 | [
"1910.09700"
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#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"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": "LunarL... | Coddieharsh/ppo-LunarLander-v2 | null | [
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"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-17T20:50:10+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
text-classification | transformers |
<!-- 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. -->
# multilingual-e5-large-instruct-guardrail-toxicity-classifier-training
This model is a fine-tuned version of [intfloat/multilingu... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "intfloat/multilingual-e5-large-instruct", "model-index": [{"name": "multilingual-e5-large-instruct-guardrail-toxicity-classifier-training", "results": []}]} | tosh97/multilingual-e5-large-instruct-guardrail-toxicity-classifier-training | null | [
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|
# multilingual-e5-large-instruct-guardrail-toxicity-classifier-training
This model is a fine-tuned version of intfloat/multilingual-e5-large-instruct on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More ... | [
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text-generation | transformers |
# WizardLM-2-4x7B-MoE-exl2-8_0bpw
This is a quantized version of [WizardLM-2-4x7B-MoE](https://huggingface.co/Skylaude/WizardLM-2-4x7B-MoE) an experimental MoE model made with [Mergekit](https://github.com/arcee-ai/mergekit). Quantization was done using version 0.0.18 of [ExLlamaV2](https://github.com/turboderp/exlla... | {"license": "apache-2.0", "tags": ["MoE", "merge", "mergekit", "Mistral", "Microsoft/WizardLM-2-7B"]} | Skylaude/WizardLM-2-4x7B-MoE-exl2-8_0bpw | null | [
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|
# WizardLM-2-4x7B-MoE-exl2-8_0bpw
This is a quantized version of WizardLM-2-4x7B-MoE an experimental MoE model made with Mergekit. Quantization was done using version 0.0.18 of ExLlamaV2.
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token-classification | transformers |
<!-- 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. -->
# xlm-roberta-base-finetuned-panx-all
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-all", "results": []}]} | taoyoung/xlm-roberta-base-finetuned-panx-all | null | [
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"license:mit",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-17T20:52:21+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-all
===================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2084
* F1: 0.8585
Model description
-----------------
More information needed
Intended uses & l... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/Sao10K/Euryale-L2-70B
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Euryale-L2-70B-GGUF... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "base_model": "Sao10K/Euryale-L2-70B", "quantized_by": "mradermacher"} | mradermacher/Euryale-L2-70B-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-generation | transformers |
<!-- 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. -->
# Yoda-WizardLM-2.3-7B
This model is a fine-tuned version of [amazingvince/Not-WizardLM-2-7B](https://huggingface.co/amazingvince/... | {"license": "apache-2.0", "tags": ["trl", "orpo", "generated_from_trainer"], "base_model": "amazingvince/Not-WizardLM-2-7B", "model-index": [{"name": "Yoda-WizardLM-2.3-7B", "results": []}]} | amazingvince/Yoda-WizardLM-2.3-7B | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T20:52:41+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #trl #orpo #generated_from_trainer #base_model-amazingvince/Not-WizardLM-2-7B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Yoda-WizardLM-2.3-7B
This model is a fine-tuned version of amazingvince/Not-WizardLM-2-7B on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hy... | [
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text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/sad_pepe_35 | null | [
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"text-generation",
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0mom/sl20 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
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text-generation | transformers |
# xianghe-ai/codegemma
This model was converted to MLX format from [`google/codegemma-7b-it`]() using mlx-lm version **0.9.0**.
Refer to the [original model card](https://huggingface.co/google/codegemma-7b-it) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import ... | {"license": "gemma", "library_name": "transformers", "tags": ["mlx"], "extra_gated_heading": "Access CodeGemma on Hugging Face", "extra_gated_prompt": "To access CodeGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging... | xianghe-ai/codegemma | null | [
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"region:us"
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|
# xianghe-ai/codegemma
This model was converted to MLX format from ['google/codegemma-7b-it']() using mlx-lm version 0.9.0.
Refer to the original model card for more details on the model.
## Use with mlx
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null | peft |
<!-- 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. -->
# model_hh_usp3_200
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_hh_usp3_200", "results": []}]} | guoyu-zhang/model_hh_usp3_200 | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us
| model\_hh\_usp3\_200
====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8202
* Rewards/chosen: -6.0974
* Rewards/rejected: -8.9863
* Rewards/accuracies: 0.6300
* Rewards/margins: 2.8889
* ... | [
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text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | indiana500/gpt2-subtle-fine-tuned-classification | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Model type:
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null | mlx |
# mlx-community/Mixtral-8x22B-Instruct-v0.1-8bit
This model was converted to MLX format from [`mistralai/Mixtral-8x22B-Instruct-v0.1`]() using mlx-lm version **0.9.0**.
Refer to the [original model card](https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1) for more details on the model.
## Use with mlx
```ba... | {"license": "apache-2.0", "tags": ["mlx"]} | mlx-community/Mixtral-8x22B-Instruct-v0.1-8bit | null | [
"mlx",
"safetensors",
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#mlx #safetensors #mixtral #license-apache-2.0 #region-us
|
# mlx-community/Mixtral-8x22B-Instruct-v0.1-8bit
This model was converted to MLX format from ['mistralai/Mixtral-8x22B-Instruct-v0.1']() using mlx-lm version 0.9.0.
Refer to the original model card for more details on the model.
## Use with mlx
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] |
null | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tdooms/TinyStories-12-256 | null | [
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null | peft |
<!-- 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. -->
# c4ai-command-r-v01-SFT
This model is a fine-tuned version of [CohereForAI/c4ai-command-r-v01-4bit](https://huggingface.co/Cohere... | {"license": "cc-by-nc-4.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "CohereForAI/c4ai-command-r-v01-4bit", "model-index": [{"name": "c4ai-command-r-v01-SFT", "results": []}]} | Utshav/c4ai-command-r-v01-SFT | null | [
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| c4ai-command-r-v01-SFT
======================
This model is a fine-tuned version of CohereForAI/c4ai-command-r-v01-4bit on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6709
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
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text-classification | transformers |
<!-- 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. -->
# longformer-fake-review-detector
This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/alle... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "allenai/longformer-base-4096", "model-index": [{"name": "longformer-fake-review-detector", "results": []}]} | ibrahim-haji-abdi/longformer-fake-review-detector | null | [
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| longformer-fake-review-detector
===============================
This model is a fine-tuned version of allenai/longformer-base-4096 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2980
* Accuracy: 0.9252
* F1: 0.9155
* Precision: 0.9774
* Recall: 0.8609
Model description
-... | [
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null | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Cdywalst/demo-l1_U_pruning | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Chilean Spanish Small
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-... | {"language": ["es"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["Mezosky/es_clinical_assistance"], "metrics": ["wer"], "base_model": "openai/whisper-base", "model-index": [{"name": "Whisper Chilean Spanish Small", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Auto... | Mezosky/whisper-base-clinical-assistance | null | [
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| Whisper Chilean Spanish Small
=============================
This model is a fine-tuned version of openai/whisper-base on the Mezosky/es\_clinical\_assistance dataset.
It achieves the following results on the evaluation set:
* Loss: 4.4659
* Wer: 204.9755
Model description
-----------------
More information need... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"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": "LunarL... | Asubramanian19/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-17T21:07:05+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Large GA-EN Speech Translation
This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/opena... | {"language": ["ga", "en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["ymoslem/IWSLT2023-GA-EN", "ymoslem/FLEURS-GA-EN", "ymoslem/BitesizeIrish-GA-EN", "ymoslem/SpokenWords-GA-EN-MTed"], "metrics": ["bleu", "wer"], "base_model": "openai/whisper-large", "model-index": [{"name": "Whisper La... | ymoslem/whisper-large-ga2en-v1.1.1 | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"ga",
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"dataset:ymoslem/IWSLT2023-GA-EN",
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"dataset:ymoslem/BitesizeIrish-GA-EN",
"dataset:ymoslem/SpokenWords-GA-EN-MTed",
"base_model:opena... | null | 2024-04-17T21:07:09+00:00 | [] | [
"ga",
"en"
] | TAGS
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======================================
This model is a fine-tuned version of openai/whisper-large on the IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia dataset.
The datasets are augmented in two ways: noise augmentation, and truncating low-amplitude samples.
T... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0mom/sl22 | null | [
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"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T21:08:06+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | xPXXX/Llama2_finetune_hotpotqa | null | [
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"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T21:09:17+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"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": "SpaceInvadersNoFram... | eulpicard/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-17T21:10:20+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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automatic-speech-recognition | transformers |
<!-- 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. -->
# ft_wav2vec2_base_thirty
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "ft_wav2vec2_base_thirty", "results": []}]} | ImanNalia/ft_wav2vec2_base_thirty | null | [
"transformers",
"tensorboard",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"base_model:facebook/wav2vec2-base",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T21:12:13+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #base_model-facebook/wav2vec2-base #license-apache-2.0 #endpoints_compatible #region-us
| ft\_wav2vec2\_base\_thirty
==========================
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6535
* Wer: 32.0197
* Cer: 14.4551
Model description
-----------------
More information needed
Intended u... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_step... | [
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null | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Edgar404/donut-shivi-recognition-8bit-lora | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T21:12:46+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"## Model Details",
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text-generation | transformers |
# DolphinHermesPro-ModelStock
DolphinHermesPro-ModelStock is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharin... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit"], "thumbnail": "https://cdn-uploads.huggingface.co/production/uploads/6589d7e6586088fd2784a12c/Jmu5DHPZwv4so5Tn-xkIO.png"} | Kquant03/DolphinHermesPro-ModelStock | null | [
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"merge",
"mergekit",
"lazymergekit",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T21:14:15+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# DolphinHermesPro-ModelStock
!image/png
DolphinHermesPro-ModelStock is a merge of the following models using LazyMergekit:
## Usage
| [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Aratako/Antler-7B-RP-v3
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw"], "datasets": ["grimulkan/LimaRP-augmented", "Aratako/Rosebleu-1on1-Dialogues-RP"], "base_model": "Aratako/Antler-7B-RP-v3", "quantized_by": "mradermacher"} | mradermacher/Antler-7B-RP-v3-GGUF | null | [
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"license:apache-2.0",
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers |
<!-- 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. -->
# 0.001_ablation_iter_2
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_iter_1](https://huggingface.co/ShenaoZ/0.001... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_iter_1", "model-index": [{"name": "0.001_ablation_iter_2", "results": []}]} | ShenaoZ/0.001_ablation_iter_2 | null | [
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"safetensors",
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"text-generation",
"alignment-handbook",
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"dataset:updated",
"dataset:original",
"base_model:ShenaoZ/0.001_ablation_iter_1",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
... | null | 2024-04-17T21:15:28+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-updated #dataset-original #base_model-ShenaoZ/0.001_ablation_iter_1 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# 0.001_ablation_iter_2
This model is a fine-tuned version of ShenaoZ/0.001_ablation_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedu... | [
"# 0.001_ablation_iter_2\n\nThis model is a fine-tuned version of ShenaoZ/0.001_ablation_iter_1 on the updated and the original datasets.",
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"## Intended uses & limitations\n\nMore information needed",
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null | peft |
<!-- 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. -->
# FineTunedllema_nada
This model is a fine-tuned version of [beomi/llama-2-ko-7b](https://huggingface.co/beomi/llama-2-ko-7b) on t... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "beomi/llama-2-ko-7b", "model-index": [{"name": "FineTunedllema_nada", "results": []}]} | Nada81/FineTunedllema_nada | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-beomi/llama-2-ko-7b #region-us
| FineTunedllema\_nada
====================
This model is a fine-tuned version of beomi/llama-2-ko-7b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8265
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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null | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | badrmarani/nico95_resnet_erm | null | [
"transformers",
"safetensors",
"resnet50",
"arxiv:1910.09700",
"endpoints_compatible",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
<!-- 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. -->
# 0.0001_ablation_iter_2
This model is a fine-tuned version of [ShenaoZ/0.0001_ablation_iter_1](https://huggingface.co/ShenaoZ/0.0... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.0001_ablation_iter_1", "model-index": [{"name": "0.0001_ablation_iter_2", "results": []}]} | ShenaoZ/0.0001_ablation_iter_2 | null | [
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... | null | 2024-04-17T21:20:38+00:00 | [] | [] | TAGS
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|
# 0.0001_ablation_iter_2
This model is a fine-tuned version of ShenaoZ/0.0001_ablation_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/facebook-opt-125m-HQQ-2bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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null | peft |
<!-- 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. -->
# model_shp1_dpo1
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_shp1_dpo1", "results": []}]} | guoyu-zhang/model_shp1_dpo1 | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us
| model\_shp1\_dpo1
=================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0112
* Rewards/chosen: -9.7625
* Rewards/rejected: -9.2926
* Rewards/accuracies: 0.4700
* Rewards/margins: -0.4699
* Logps... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** AdrienB134
- **License:** apache-2.0
- **Finetuned from model :** croissantllm/CroissantCool-v0.2
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "croissantllm/CroissantCool-v0.2"} | AdrienB134/Croissant-1.3B-Math-iter1 | null | [
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"license:apache-2.0",
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|
# Uploaded model
- Developed by: AdrienB134
- License: apache-2.0
- Finetuned from model : croissantllm/CroissantCool-v0.2
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Tess-2.0-Mixtral-8x22B
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B was trained on the mistral-community/Mixtral-8x22B-v0.1 base.
# Prompt Format
``... | {"license": "apache-2.0"} | blockblockblock/Tess-2.0-Mixtral-8x22B-bpw4.4 | null | [
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"mixtral",
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|
!Tesoro
# Tess-2.0-Mixtral-8x22B
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B was trained on the mistral-community/Mixtral-8x22B-v0.1 base.
# Prompt Format
# Training Methodology
Tess-2.0-Mixtral-8x22B was trained on the Tess-2.0 dataset. T... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"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": "LunarL... | Hoodog/PPO-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-17T21:38:13+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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text-classification | transformers |
<!-- 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. -->
# emotions_distilroberta
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilroberta-base", "model-index": [{"name": "emotions_distilroberta", "results": []}]} | yunaseo/emotions_distilroberta | null | [
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"roberta",
"text-classification",
"generated_from_trainer",
"base_model:distilroberta-base",
"license:apache-2.0",
"autotrain_compatible",
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#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-distilroberta-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| emotions\_distilroberta
=======================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5345
* F1 Micro: 0.6750
* F1 Macro: 0.5924
* Accuracy: 0.2078
Model description
-----------------
More information ne... | [
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text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | J0nathan18/7b_v1 | null | [
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"text-generation",
"custom_code",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | dmvaldman/showerthought_instruct_deepseek | null | [
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# Model Card for Model ID
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text-generation | transformers |
### Huggingface RWKV EagleX 7B v2 Model
> **! Important Note !**
>
> The followi... | {"language": ["en"], "license": "apache-2.0", "datasets": ["cerebras/SlimPajama-627B", "EleutherAI/pile"]} | RWKV/v5-EagleX-v2-7B-HF | null | [
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| !An eagle flying high up in the sky
### Huggingface RWKV EagleX 7B v2 Model
>
> ! Important Note !
>
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>
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text2text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | martinsinnona/visdecode_2024_2 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
<!-- 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. -->
# amazon_helpfulness_classification_on_TAPT_full_pretrained_best_epoch_f1
This model is a fine-tuned version of [BigTMiami/tapt_he... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "BigTMiami/tapt_helpfulness_base_pretraining_model", "model-index": [{"name": "amazon_helpfulness_classification_on_TAPT_full_pretrained_best_epoch_f1", "results": []}]} | ltuzova/amazon_helpfulness_classification_on_TAPT_full_pretrained_best_epoch_f1 | null | [
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| amazon\_helpfulness\_classification\_on\_TAPT\_full\_pretrained\_best\_epoch\_f1
================================================================================
This model is a fine-tuned version of BigTMiami/tapt\_helpfulness\_base\_pretraining\_model on an unknown dataset.
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reinforcement-learning | ml-agents |
# **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 (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | Coddieharsh/ppo-Huggy | null | [
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|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
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text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-krillin47 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
<!-- 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. -->
# liar_binaryclassifier_bert_cased
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "liar_binaryclassifier_bert_cased", "results": []}]} | vishalk4u/liar_binaryclassifier_bert_cased | null | [
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| liar\_binaryclassifier\_bert\_cased
===================================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6346
* Accuracy: 0.6681
Model description
-----------------
More information needed
Intended u... | [
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feature-extraction | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep21 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | wintercoming6/Mixtral-7B-AIPI-finetune-with-8bit-quantization | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- License... | [
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null | null |
<!-- 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. -->
# V0417MAD6
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0417MAD6", "results": []}]} | Litzy619/V0417MAD6 | null | [
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0417MAD6
=========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0635
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - ngoga/corgy_cup_LoRA
<Gallery />
## Model description
These are ngoga/corgy_cup_LoRA LoRA adap... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of cup", "widget... | ngoga/corgy_cup_LoRA | null | [
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|
# SDXL LoRA DreamBooth - ngoga/corgy_cup_LoRA
<Gallery />
## Model description
These are ngoga/corgy_cup_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | StupidSenpai/testnet | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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null | null |
<!-- 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. -->
# V0417MAD5
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0417MAD5", "results": []}]} | Litzy619/V0417MAD5 | null | [
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| V0417MAD5
=========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0615
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | thanhnew2001/merged | null | [
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text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Kastanie99/zephyr-7b-beta-Req-haoran-mt-17042024 | null | [
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text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | KvrParaskevi/gemma-2b-Hotel-Booking | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | perceptorLLM/idefics2-8b-4bit-fp16 | null | [
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reinforcement-learning | null |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'ppo'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_i... | {"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... | joen2010/ppo-CartPole-v1 | null | [
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#tensorboard #LunarLander-v2 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us
|
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-tiny-ft-cy-en
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "whisper-tiny-ft-cy-en", "results": []}]} | DewiBrynJones/whisper-tiny-ft-cy-en | null | [
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| whisper-tiny-ft-cy-en
=====================
This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5668
* Wer: 36.8865
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #base_model-openai/whisper-tiny #license-apache-2.0 #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate... | [
52,
138,
5,
44
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"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #base_model-openai/whisper-tiny #license-apache-2.0 #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-0... |
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