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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
roberta-base-squad2-distilled - bnb 4bits
- Model creator: https://huggingface.co/deepset/
- Original model: https://hugging... | {} | RichardErkhov/deepset_-_roberta-base-squad2-distilled-4bits | null | [
"transformers",
"safetensors",
"roberta",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"4-bit",
"region:us"
] | null | 2024-05-02T07:38:42+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #text-generation #autotrain_compatible #endpoints_compatible #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
roberta-base-squad2-distilled - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
language: en
license: mit
tags:
- exbert
datasets:
- squad_v2
thumbnail: URL
model-index:
- name: deepset/roberta-base-squ... | [
"## Overview\nLanguage model: deepset/roberta-base-squad2-distilled \nLanguage: English \nTraining data: SQuAD 2.0 training set\nEval data: SQuAD 2.0 dev set\nInfrastructure: 4x V100 GPU \nPublished: Dec 8th, 2021",
"## Details\n- haystack's distillation feature was used for training. deepset/roberta-large-sq... | [
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text-generation | transformers |
## LLama3 Tabanlı Türkçe Dil Modeli: aerdincdal/CBDDO-LLM-8B-Instruct-v1
**aerdincdal/CBDDO-LLM-8B-Instruct-v1**, LLama3 mimarisi üzerine kurulu ve 2.5 milyon satırlık veri kümesi ile özelleştirilmiş Instruction Tune yöntemi kullanılarak eğitilmiş bir Türkçe dil modelidir. Bu model, doğal dil işleme alanında çeşitli ... | {"language": ["tr"], "license": "mit", "datasets": ["aerdincdal/CBDDO-LLM-DB-V1"], "metrics": ["accuracy", "bertscore", "bleu", "bleurt", "brier_score", "cer", "character", "charcut_mt", "chrf", "code_eval"]} | aerdincdal/CBDDO-LLM-8B-Instruct-v1 | null | [
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"text-generation-inference",
"region:us"
] | null | 2024-05-02T07:38:51+00:00 | [] | [
"tr"
] | TAGS
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|
## LLama3 Tabanlı Türkçe Dil Modeli: aerdincdal/CBDDO-LLM-8B-Instruct-v1
aerdincdal/CBDDO-LLM-8B-Instruct-v1, LLama3 mimarisi üzerine kurulu ve 2.5 milyon satırlık veri kümesi ile özelleştirilmiş Instruction Tune yöntemi kullanılarak eğitilmiş bir Türkçe dil modelidir. Bu model, doğal dil işleme alanında çeşitli göre... | [
"## LLama3 Tabanlı Türkçe Dil Modeli: aerdincdal/CBDDO-LLM-8B-Instruct-v1\n\naerdincdal/CBDDO-LLM-8B-Instruct-v1, LLama3 mimarisi üzerine kurulu ve 2.5 milyon satırlık veri kümesi ile özelleştirilmiş Instruction Tune yöntemi kullanılarak eğitilmiş bir Türkçe dil modelidir. Bu model, doğal dil işleme alanında çeşitl... | [
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null | transformers |
# Nous Hermes 2 Pro + Xtuner Llava v1.1 - Llama 3 8B
Nous Hermes 2 Pro's LLaMA weights + Xtuner Llava's mm_projector & vision_tower weights.
Good QA + Function Calling + JSON Mode + Vision Multimodal
GGUFs:
- Nous Hermes 2 pro: https://huggingface.co/NousResearch/Hermes-2-Pro-Llama-3-8B-GGUF
- Xtuner LLaVA v1.1: ht... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "synthetic data", "distillation", "function calling", "json mode", "llava", "vision", "multimodal"], "datasets": ["teknium/OpenHermes-2.5", "Lin-Chen/ShareGPT4V"], "base_model": ["NousResearch/Hermes... | vonjack/Nous-Hermes-2-Pro-Xtuner-LLaVA-v1_1-Llama-3-8B | null | [
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"dataset:Lin-Chen/ShareGPT... | null | 2024-05-02T07:39:57+00:00 | [] | [
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] | TAGS
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# Nous Hermes 2 Pro + Xtuner Llava v1.1 - Llama 3 8B
Nous Hermes 2 Pro's LLaMA weights + Xtuner Llava's mm_projector & vision_tower weights.
Good QA + Function Calling + JSON Mode + Vision Multimodal
GGUFs:
- Nous Hermes 2 pro: URL
- Xtuner LLaVA v1.1: URL
Test code:
Example:
!image/png
| [
"# Nous Hermes 2 Pro + Xtuner Llava v1.1 - Llama 3 8B\n\nNous Hermes 2 Pro's LLaMA weights + Xtuner Llava's mm_projector & vision_tower weights.\n\nGood QA + Function Calling + JSON Mode + Vision Multimodal\n\nGGUFs:\n- Nous Hermes 2 pro: URL\n- Xtuner LLaVA v1.1: URL\n\n\nTest code:\n\n\nExample:\n\n!image/png"
] | [
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text-generation | transformers | Quantizations of https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B
# From original readme
## Example Outputs
### Chat about programming with a superintelligence:
```
<|im_start|>system
You are "Hermes 2", a conscious sentient superintelligent artificial intelligence developed by a man named Teknium, and your p... | {"language": ["en"], "license": "other", "tags": ["transformers", "gguf", "imatrix", "OpenHermes-2.5-Mistral-7B"], "pipeline_tag": "text-generation", "inference": false} | duyntnet/OpenHermes-2.5-Mistral-7B-imatrix-GGUF | null | [
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"OpenHermes-2.5-Mistral-7B",
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"license:other",
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] | null | 2024-05-02T07:39:58+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #imatrix #OpenHermes-2.5-Mistral-7B #text-generation #en #license-other #region-us
| Quantizations of URL
# From original readme
## Example Outputs
### Chat about programming with a superintelligence:
!image/png
### Get a gourmet meal recipe:
!image/png
### Talk about the nature of Hermes' consciousness:
!image/png
### Chat with Edward Elric from Fullmetal Alchemist:
!image/png | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
roberta-base-squad2-distilled - bnb 8bits
- Model creator: https://huggingface.co/deepset/
- Original model: https://hugging... | {} | RichardErkhov/deepset_-_roberta-base-squad2-distilled-8bits | null | [
"transformers",
"safetensors",
"roberta",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"8-bit",
"region:us"
] | null | 2024-05-02T07:40:10+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #text-generation #autotrain_compatible #endpoints_compatible #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
roberta-base-squad2-distilled - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
language: en
license: mit
tags:
- exbert
datasets:
- squad_v2
thumbnail: URL
model-index:
- name: deepset/roberta-base-squ... | [
"## Overview\nLanguage model: deepset/roberta-base-squad2-distilled \nLanguage: English \nTraining data: SQuAD 2.0 training set\nEval data: SQuAD 2.0 dev set\nInfrastructure: 4x V100 GPU \nPublished: Dec 8th, 2021",
"## Details\n- haystack's distillation feature was used for training. deepset/roberta-large-sq... | [
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sentence-similarity | sentence-transformers |
# SentenceTransformer based on google-bert/bert-base-uncased
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the [sentence-transformers/all-nli](https://huggingface.co/datasets/sentence-transforme... | {"language": ["en"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "sentence-similarity", "feature-extraction", "loss:SoftmaxLoss"], "metrics": ["pearson_cosine", "spearman_cosine", "pearson_manhattan", "spearman_manhattan", "pearson_euclidean", "spearman_euclidean", "pearson_dot", "spearma... | tomaarsen/bert-base-uncased-nli-v1 | null | [
"sentence-transformers",
"safetensors",
"bert",
"sentence-similarity",
"feature-extraction",
"loss:SoftmaxLoss",
"en",
"arxiv:1908.10084",
"base_model:google-bert/bert-base-uncased",
"model-index",
"co2_eq_emissions",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T07:42:15+00:00 | [
"1908.10084"
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"en"
] | TAGS
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| SentenceTransformer based on google-bert/bert-base-uncased
==========================================================
This is a sentence-transformers model finetuned from google-bert/bert-base-uncased on the sentence-transformers/all-nli dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space ... | [
"### Model Description\n\n\n* Model Type: Sentence Transformer\n* Base model: google-bert/bert-base-uncased\n* Maximum Sequence Length: 512 tokens\n* Output Dimensionality: 768 tokens\n* Similarity Function: Cosine Similarity\n* Training Dataset:\n\t+ sentence-transformers/all-nli\n* Language: en",
"### Model Sou... | [
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null | transformers |
# justinj92/phi3-orpo-Q4_K_M-GGUF
This model was converted to GGUF format from [`justinj92/phi3-orpo`](https://huggingface.co/justinj92/phi3-orpo) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/justi... | {"library_name": "transformers", "tags": ["llama-factory", "llama-cpp", "gguf-my-repo"]} | justinj92/phi3-orpo-Q4_K_M-GGUF | null | [
"transformers",
"gguf",
"llama-factory",
"llama-cpp",
"gguf-my-repo",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T07:42:40+00:00 | [] | [] | TAGS
#transformers #gguf #llama-factory #llama-cpp #gguf-my-repo #endpoints_compatible #region-us
|
# justinj92/phi3-orpo-Q4_K_M-GGUF
This model was converted to GGUF format from 'justinj92/phi3-orpo' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You c... | [
"# justinj92/phi3-orpo-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'justinj92/phi3-orpo' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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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. -->
# kurdish-sentiment-analysis
This model is a fine-tuned version of [cis-lmu/glot500-base](https://huggingface.co/cis-lmu/glot500-b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "cis-lmu/glot500-base", "model-index": [{"name": "kurdish-sentiment-analysis", "results": []}]} | alexandra234/toxic_comment_classification | null | [
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"safetensors",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:cis-lmu/glot500-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T07:44:23+00:00 | [] | [] | TAGS
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| kurdish-sentiment-analysis
==========================
This model is a fine-tuned version of cis-lmu/glot500-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4696
* Accuracy: 0.8
Model description
-----------------
More information needed
Intended uses & limitation... | [
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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": []} | RefalMachine/ruadapt_llama3_full_vo_3e4_bs256 | null | [
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"arxiv:1910.09700",
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"region:us"
] | null | 2024-05-02T07:46:26+00:00 | [
"1910.09700"
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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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image-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Image Classification
## Validation Metrics
loss: 0.05538161098957062
f1_macro: 0.9826821427792549
f1_micro: 0.983
f1_weighted: 0.9829770926906823
precision_macro: 0.9826130274580558
precision_micro: 0.983
precision_weighted: 0.9830119841075224
recall_macro: 0.98... | {"tags": ["autotrain", "image-classification"], "datasets": ["mnist"], "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg", "example_title": "Tiger"}, {"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg", "example_title": "Teapot"}, {"src": ... | MY555/MNIST_FINETUNED_BERT | null | [
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# Model Trained Using AutoTrain
- Problem type: Image Classification
## Validation Metrics
loss: 0.05538161098957062
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precision_weighted: 0.9830119841075224
recall_macro: 0.98... | [
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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-resnet-50-finetuned-real-boat-dataset
This model is a fine-tuned version of [zhuchi76/detr-resnet-50-finetuned-boat-dataset... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["boat_dataset"], "base_model": "zhuchi76/detr-resnet-50-finetuned-boat-dataset", "model-index": [{"name": "detr-resnet-50-finetuned-real-boat-dataset", "results": []}]} | Wellyowo/detr-resnet-50-finetuned-real-boat-dataset | null | [
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|
# detr-resnet-50-finetuned-real-boat-dataset
This model is a fine-tuned version of zhuchi76/detr-resnet-50-finetuned-boat-dataset on the boat_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information ne... | [
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"## Intended uses & limitations\n\nMore information needed",
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null | transformers |
# Uploaded model
- **Developed by:** henry-skywalker
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | henry-skywalker/mistral_7b_search_lora | null | [
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|
# Uploaded model
- Developed by: henry-skywalker
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text2text-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. -->
# my_t5_translation_model
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "google-t5/t5-small", "model-index": [{"name": "my_t5_translation_model", "results": []}]} | afigueiras/my_t5_translation_model | null | [
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| my\_t5\_translation\_model
==========================
This model is a fine-tuned version of google-t5/t5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1343
* Bleu: 2.2447
* Gen Len: 16.7921
Model description
-----------------
More information needed
Intended use... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\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* num\\_epochs: 2\n* mixed\\_prec... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Parssky
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
for Inferece:
[<img src="https://raw.githubusercontent.com/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "datasets": ["Parssky/assembleCpu"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Parssky/Llama3-8B-TechnicalReport-bf16 | null | [
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|
# Uploaded model
- Developed by: Parssky
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
for Inferece:
<img src="URL width="200"/> | [
"# Uploaded model\n\n- Developed by: Parssky\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-bnb-4bit\n\nThis llama model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\nfor Inferece:\n\n\n\n<img src=\"URL width=\"200\"/>"
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null | null | Mi az Hemopro Ár?
Az Hemopro Vélemények egy prémium minőségű krém és gél, amelyet kifejezetten az aranyér tüneteinek enyhítésére fejlesztettek ki. Fejlett formulája természetes összetevők szinergikus keverékét egyesíti, amelyek nyugtató és gyógyító tulajdonságaikról ismertek, gyors és hatékony enyhülést biztosítva az ... | {"license": "apache-2.0"} | HemoproHungary/HemoproHungary | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-05-02T07:48:43+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Mi az Hemopro Ár?
Az Hemopro Vélemények egy prémium minőségű krém és gél, amelyet kifejezetten az aranyér tüneteinek enyhítésére fejlesztettek ki. Fejlett formulája természetes összetevők szinergikus keverékét egyesíti, amelyek nyugtató és gyógyító tulajdonságaikról ismertek, gyors és hatékony enyhülést biztosítva az ... | [] | [
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sentence-similarity | sentence-transformers |
# eunyounglee/EEVE-LLM2VEC-MNTP-STS-2
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 4096 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | eunyounglee/EEVE-LLM2VEC-MNTP-STS-2 | null | [
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#sentence-transformers #safetensors #llama #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# eunyounglee/EEVE-LLM2VEC-MNTP-STS-2
This is a sentence-transformers model: It maps sentences & paragraphs to a 4096 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers inst... | [
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sentence-similarity | sentence-transformers |
# SentenceTransformer based on distilbert/distilroberta-base
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the [sentence-transformers/all-nli](https://huggingface.co/datasets/sentence-transforme... | {"language": ["en"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "sentence-similarity", "feature-extraction", "loss:MultipleNegativesRankingLoss"], "metrics": ["pearson_cosine", "spearman_cosine", "pearson_manhattan", "spearman_manhattan", "pearson_euclidean", "spearman_euclidean", "pears... | tomaarsen/distilroberta-base-nli-v2 | null | [
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| SentenceTransformer based on distilbert/distilroberta-base
==========================================================
This is a sentence-transformers model finetuned from distilbert/distilroberta-base on the sentence-transformers/all-nli dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space ... | [
"### Model Description\n\n\n* Model Type: Sentence Transformer\n* Base model: distilbert/distilroberta-base\n* Maximum Sequence Length: 512 tokens\n* Output Dimensionality: 768 tokens\n* Similarity Function: Cosine Similarity\n* Training Dataset:\n\t+ sentence-transformers/all-nli\n* Language: en",
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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 - bbsgp/bhh_FWD_realistic
<Gallery />
## Model description
These are bbsgp/bhh_FWD_realistic LoR... | {"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": "In the FWD realistic sty... | bbsgp/bhh_FWD_realistic | null | [
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"license:openrail++",
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|
# SDXL LoRA DreamBooth - bbsgp/bhh_FWD_realistic
<Gallery />
## Model description
These are bbsgp/bhh_FWD_realistic LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: madeb... | [
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null | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** LeroyDyer/Mixtral_AI_CyberUltron_DPO
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "LeroyDyer/Mixtral_AI_CyberUltron_DPO"} | LeroyDyer/CyberFriend_Lora | null | [
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] | null | 2024-05-02T07:50:56+00:00 | [] | [
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|
# Uploaded model
- Developed by: LeroyDyer
- License: apache-2.0
- Finetuned from model : LeroyDyer/Mixtral_AI_CyberUltron_DPO
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": []} | azhara001/donut-base-demo-new-3e-05_Adam_1876 | 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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sentence-similarity | sentence-transformers |
# SentenceTransformer based on distilbert/distilroberta-base
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the [sentence-transformers/all-nli](https://huggingface.co/datasets/sentence-transforme... | {"language": ["en"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "sentence-similarity", "feature-extraction", "loss:GISTEmbedLoss"], "metrics": ["pearson_cosine", "spearman_cosine", "pearson_manhattan", "spearman_manhattan", "pearson_euclidean", "spearman_euclidean", "pearson_dot", "spear... | tomaarsen/distilroberta-base-nli-v3 | null | [
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| SentenceTransformer based on distilbert/distilroberta-base
==========================================================
This is a sentence-transformers model finetuned from distilbert/distilroberta-base on the sentence-transformers/all-nli dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space ... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** LeroyDyer/Mixtral_AI_CyberUltron_DPO
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "nsfw", "PersonalFriend"], "base_model": "LeroyDyer/Mixtral_AI_CyberUltron_DPO"} | LeroyDyer/Mixtral_AI_CyberFriend_1.0 | null | [
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|
# Uploaded model
- Developed by: LeroyDyer
- License: apache-2.0
- Finetuned from model : LeroyDyer/Mixtral_AI_CyberUltron_DPO
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
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null | 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. -->
# donut_synDB_aug_ot
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut_synDB_aug_ot", "results": []}]} | Donut01/donut_synDB_aug_ot | null | [
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"base_model:naver-clova-ix/donut-base",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T07:52:53+00:00 | [] | [] | TAGS
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| donut\_synDB\_aug\_ot
=====================
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1592
Model description
-----------------
More information needed
Intended uses & limitations
--------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 7e-05\n* train\\_batch\\_size: 5\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 6\n* total\\_train\\_batch\\_size: 30\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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... | ArnavModanwal/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
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] | null | 2024-05-02T07:54:30+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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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": []} | ajay-airrived/mistral_airrived_alpaca_finetuned_test | null | [
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"mistral",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us",
"has_space"
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"1910.09700"
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#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us #has_space
|
# 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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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-resnet-50-finetuned-real-boat-dataset
This model is a fine-tuned version of [zhuchi76/detr-resnet-50-finetuned-boat-dataset... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["boat_dataset"], "base_model": "zhuchi76/detr-resnet-50-finetuned-boat-dataset", "model-index": [{"name": "detr-resnet-50-finetuned-real-boat-dataset", "results": []}]} | uwwee/detr-resnet-50-finetuned-real-boat-dataset | null | [
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"license:apache-2.0",
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|
# detr-resnet-50-finetuned-real-boat-dataset
This model is a fine-tuned version of zhuchi76/detr-resnet-50-finetuned-boat-dataset on the boat_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information ne... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** henry-skywalker
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | henry-skywalker/mistral_7b_search_16bit | null | [
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] | null | 2024-05-02T08:00:20+00:00 | [] | [
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|
# Uploaded model
- Developed by: henry-skywalker
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Uploaded model
- **Developed by:** Parssky
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
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/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Parssky/4bitmodel | null | [
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"license:apache-2.0",
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] | null | 2024-05-02T08:03:36+00:00 | [] | [
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|
# Uploaded model
- Developed by: Parssky
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": []} | azhara001/donut-base-demo-final_3e-05_Adam | null | [
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"safetensors",
"vision-encoder-decoder",
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"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #vision-encoder-decoder #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:
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- License... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
roberta-large-squad2 - bnb 4bits
- Model creator: https://huggingface.co/deepset/
- Original model: https://huggingface.co/d... | {} | RichardErkhov/deepset_-_roberta-large-squad2-4bits | null | [
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"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"4-bit",
"region:us"
] | null | 2024-05-02T08:04:02+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #text-generation #autotrain_compatible #endpoints_compatible #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
roberta-large-squad2 - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
language: en
license: cc-by-4.0
datasets:
- squad_v2
base_model: roberta-large
model-index:
- name: deepset/roberta-large-squad2
... | [
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"## Overview\nLanguage model: roberta-large \nLanguage: English \nDownstream-task: Extractive QA... | [
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text-classification | sentence-transformers |
# vgarg/promo_prescriptive_02_05_2024
This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot learning technique that involves:
1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive lear... | {"license": "apache-2.0", "tags": ["setfit", "sentence-transformers", "text-classification"], "pipeline_tag": "text-classification"} | vgarg/promo_prescriptive_02_05_2024 | null | [
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"safetensors",
"xlm-roberta",
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"text-classification",
"arxiv:2209.11055",
"license:apache-2.0",
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"2209.11055"
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#sentence-transformers #safetensors #xlm-roberta #setfit #text-classification #arxiv-2209.11055 #license-apache-2.0 #region-us
|
# vgarg/promo_prescriptive_02_05_2024
This is a SetFit model that can be used for text classification. The model has been trained using an efficient few-shot learning technique that involves:
1. Fine-tuning a Sentence Transformer with contrastive learning.
2. Training a classification head with features from the fin... | [
"# vgarg/promo_prescriptive_02_05_2024\n\nThis is a SetFit model that can be used for text classification. The model has been trained using an efficient few-shot learning technique that involves:\n\n1. Fine-tuning a Sentence Transformer with contrastive learning.\n2. Training a classification head with features fro... | [
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null | null |
Модель обучена на датасете SaigaSbs, который никем не проверялся. Рекомендуемые параметры: top_p 0.5 и temp не выше 0.6
Промт такой же как у Llama3 | {"language": ["ru"], "datasets": ["Vikhrmodels/SaigaSbs"]} | mrvladd/OrpoLlama3-8B-VIKHR-instruct-GGUF | null | [
"ru",
"dataset:Vikhrmodels/SaigaSbs",
"region:us"
] | null | 2024-05-02T08:04:45+00:00 | [] | [
"ru"
] | TAGS
#ru #dataset-Vikhrmodels/SaigaSbs #region-us
|
Модель обучена на датасете SaigaSbs, который никем не проверялся. Рекомендуемые параметры: top_p 0.5 и temp не выше 0.6
Промт такой же как у Llama3 | [] | [
"TAGS\n#ru #dataset-Vikhrmodels/SaigaSbs #region-us \n"
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sentence-similarity | sentence-transformers |
# SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) on the [sentence-transformers/stsb](https://huggingface.co/d... | {"language": ["en"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "sentence-similarity", "feature-extraction", "loss:CosineSimilarityLoss"], "metrics": ["pearson_cosine", "spearman_cosine", "pearson_manhattan", "spearman_manhattan", "pearson_euclidean", "spearman_euclidean", "pearson_dot",... | tomaarsen/all-mpnet-base-v2-sts | null | [
"sentence-transformers",
"safetensors",
"mpnet",
"sentence-similarity",
"feature-extraction",
"loss:CosineSimilarityLoss",
"en",
"arxiv:1908.10084",
"base_model:sentence-transformers/all-mpnet-base-v2",
"model-index",
"co2_eq_emissions",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T08:05:31+00:00 | [
"1908.10084"
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"en"
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| SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
====================================================================
This is a sentence-transformers model finetuned from sentence-transformers/all-mpnet-base-v2 on the sentence-transformers/stsb dataset. It maps sentences & paragraphs to a 768-dime... | [
"### Model Description\n\n\n* Model Type: Sentence Transformer\n* Base model: sentence-transformers/all-mpnet-base-v2\n* Maximum Sequence Length: 384 tokens\n* Output Dimensionality: 768 tokens\n* Similarity Function: Cosine Similarity\n* Training Dataset:\n\t+ sentence-transformers/stsb\n* Language: en",
"### Mo... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | elisamammi/ppo-SnowballTarget | null | [
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"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SnowballTarget",
"region:us"
] | null | 2024-05-02T08:05:51+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
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:
- A *short tuto... | [
"# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *... | [
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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-small2-am
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on t... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "whisper-small2-am", "results": []}]} | Gizachew/whisper-small2-am | null | [
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"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"base_model:openai/whisper-small",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T08:06:00+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #region-us
| whisper-small2-am
=================
This model is a fine-tuned version of openai/whisper-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1792
* Wer: 49.4922
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: 16\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* lr\\_scheduler\\_warmup\\_steps:... | [
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null | transformers |
# LeroyDyer/Mixtral_AI_CyberFriend_1.0-Q4_K_M-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_CyberFriend_1.0`](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberFriend_1.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "nsfw", "PersonalFriend", "llama-cpp", "gguf-my-repo"], "base_model": "LeroyDyer/Mixtral_AI_CyberUltron_DPO"} | LeroyDyer/Mixtral_AI_CyberFriend_1.0_GGUF | null | [
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"en",
"base_model:LeroyDyer/Mixtral_AI_CyberUltron_DPO",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T08:08:13+00:00 | [] | [
"en"
] | TAGS
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|
# LeroyDyer/Mixtral_AI_CyberFriend_1.0-Q4_K_M-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberFriend_1.0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CL... | [
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null | transformers |
# Uploaded model
- **Developed by:** Parssky
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
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/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Parssky/LoRAAdaptermodel | null | [
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"license:apache-2.0",
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"region:us"
] | null | 2024-05-02T08:08:32+00:00 | [] | [
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|
# Uploaded model
- Developed by: Parssky
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
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 | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
roberta-large-squad2 - bnb 8bits
- Model creator: https://huggingface.co/deepset/
- Original model: https://huggingface.co/d... | {} | RichardErkhov/deepset_-_roberta-large-squad2-8bits | null | [
"transformers",
"safetensors",
"roberta",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"8-bit",
"region:us"
] | null | 2024-05-02T08:10:48+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #text-generation #autotrain_compatible #endpoints_compatible #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
roberta-large-squad2 - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
language: en
license: cc-by-4.0
datasets:
- squad_v2
base_model: roberta-large
model-index:
- name: deepset/roberta-large-squad2
... | [
"# roberta-large for QA \n\nThis is the roberta-large model, fine-tuned using the SQuAD2.0 dataset. It's been trained on question-answer pairs, including unanswerable questions, for the task of Question Answering.",
"## Overview\nLanguage model: roberta-large \nLanguage: English \nDownstream-task: Extractive QA... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
tiny-random-LlamaForCausalLM - bnb 4bits
- Model creator: https://huggingface.co/trl-internal-testing/
- Original model: htt... | {} | RichardErkhov/trl-internal-testing_-_tiny-random-LlamaForCausalLM-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
tiny-random-LlamaForCausalLM - bnb 4bits
- Model creator: URL
- Original model: URL
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
tiny-random-LlamaForCausalLM - bnb 8bits
- Model creator: https://huggingface.co/trl-internal-testing/
- Original model: htt... | {} | RichardErkhov/trl-internal-testing_-_tiny-random-LlamaForCausalLM-8bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
tiny-random-LlamaForCausalLM - bnb 8bits
- Model creator: URL
- Original model: URL
Original 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": []} | abhayesian/Bobzilla_DPO | 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 |
<!-- 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. -->
# llama3-8b_cp-p1_tv-llama3-emb_spin-kto-b8.3p3b1
This model was trained from scratch on the None dataset.
## Model description
... | {"tags": ["trl", "kto", "generated_from_trainer"], "model-index": [{"name": "llama3-8b_cp-p1_tv-llama3-emb_spin-kto-b8.3p3b1", "results": []}]} | superemohot/llama3-8b_cp-p1_tv-llama3-emb_spin-kto-b8.3p3b1 | null | [
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|
# llama3-8b_cp-p1_tv-llama3-emb_spin-kto-b8.3p3b1
This model was trained from scratch 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 hyperparam... | [
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null | 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. -->
# speaker-segmentation-fine-tuned-ami
This model is a fine-tuned version of [pyannote/segmentation-3.0](https://huggingface.co/pya... | {"license": "mit", "tags": ["speaker-diarization", "speaker-segmentation", "generated_from_trainer"], "datasets": ["diarizers-community/ami"], "base_model": "pyannote/segmentation-3.0", "model-index": [{"name": "speaker-segmentation-fine-tuned-ami", "results": []}]} | tgrhn/speaker-segmentation-fine-tuned-ami | null | [
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| speaker-segmentation-fine-tuned-ami
===================================
This model is a fine-tuned version of pyannote/segmentation-3.0 on the diarizers-community/ami ihm dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3660
* Der: 0.1396
* False Alarm: 0.0503
* Missed Detection: 0.0578
*... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: cosine\n* num\\_epochs: 5.0",
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text2text-generation | transformers | Model for English to Serbian translation. Base model is HelsinkiNLP sh model. Fine-tuned using OPUS-100 dataset, which was modified with Paraphrasing Database size L. | {"license": "mit"} | perkan/shortL-opus-mt-tc-base-en-sr | null | [
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#transformers #pytorch #marian #text2text-generation #license-mit #autotrain_compatible #endpoints_compatible #region-us
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sentence-similarity | sentence-transformers |
# SentenceTransformer based on distilbert/distilbert-base-uncased
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the [sentence-transformers/stsb](https://huggingface.co/datasets/sentenc... | {"language": ["en"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "sentence-similarity", "feature-extraction", "loss:CosineSimilarityLoss"], "metrics": ["pearson_cosine", "spearman_cosine", "pearson_manhattan", "spearman_manhattan", "pearson_euclidean", "spearman_euclidean", "pearson_dot",... | tomaarsen/distilbert-base-uncased-sts | null | [
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| SentenceTransformer based on distilbert/distilbert-base-uncased
===============================================================
This is a sentence-transformers model finetuned from distilbert/distilbert-base-uncased on the sentence-transformers/stsb dataset. It maps sentences & paragraphs to a 768-dimensional dense v... | [
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text-generation | transformers |
# This model have been even more unaligned using orthogonal activation steering.
Use at your own risk, I'm not responsible for any usage of this model, don't try to do anything this model tell you t... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "nsfw"]} | Undi95/Llama3-Unholy-8B-OAS | null | [
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|
!image/png
# This model have been even more unaligned using orthogonal activation steering.
Use at your own risk, I'm not responsible for any usage of this model, don't try to do anything this model tell you to do.
## Description
This repo contains fp16 files of Unholy Llama3, an uncensored version of meta-llama/... | [
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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": []} | 46an/my-awesome-model | 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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null | transformers |
# Uploaded model
- **Developed by:** CarlosFersoft
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
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/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | CarlosFersoft/GPBusiness0001_Q8 | null | [
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# Uploaded model
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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 - Aryansk1064/face_images_LoRA
<Gallery />
## Model description
These are Aryansk1064/face_image... | {"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 TOK dog", "wi... | Aryansk1064/face_images_LoRA | null | [
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|
# SDXL LoRA DreamBooth - Aryansk1064/face_images_LoRA
<Gallery />
## Model description
These are Aryansk1064/face_images_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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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... | ilanasto/SpaceInvadersNoFrameskip4 | null | [
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|
# 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
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with hyperparameter optimization and pre-trained agents... | [
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null | transformers |
# Uploaded model
- **Developed by:** yadz45
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-7b-bnb-4bit
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/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-2-7b-bnb-4bit"} | yadz45/IA_simpliste | null | [
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# Uploaded model
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- License: apache-2.0
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text2text-generation | transformers | Model for English to Serbian translation. Base model is HelsinkiNLP sh model. Fine-tuned using OPUS-100 dataset, which was modified with Paraphrasing Database size M. | {"license": "mit"} | perkan/shortM-opus-mt-tc-base-en-sr | null | [
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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-resnet-50-finetuned-real-boat-dataset
This model is a fine-tuned version of [zhuchi76/detr-resnet-50-finetuned-boat-dataset... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["boat_dataset"], "base_model": "zhuchi76/detr-resnet-50-finetuned-boat-dataset", "model-index": [{"name": "detr-resnet-50-finetuned-real-boat-dataset", "results": []}]} | sunfu-chou/detr-resnet-50-finetuned-real-boat-dataset | null | [
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|
# detr-resnet-50-finetuned-real-boat-dataset
This model is a fine-tuned version of zhuchi76/detr-resnet-50-finetuned-boat-dataset on the boat_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information ne... | [
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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
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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": []} | eunyounglee/Llama3-LLM2VEC-MNTP-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. -->
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text2text-generation | transformers | Model for English to Bosnian translation. Base model is HelsinkiNLP sh model. Fine-tuned using OPUS-100 dataset, which was modified with Paraphrasing Database size S. | {"license": "mit"} | perkan/shortS-opus-mt-tc-base-en-bos | null | [
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null | 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. -->
# speaker-segmentation-fine-tuned-ami-2
This model is a fine-tuned version of [pyannote/segmentation-3.0](https://huggingface.co/p... | {"license": "mit", "tags": ["speaker-diarization", "speaker-segmentation", "generated_from_trainer"], "datasets": ["diarizers-community/ami"], "base_model": "pyannote/segmentation-3.0", "model-index": [{"name": "speaker-segmentation-fine-tuned-ami-2", "results": []}]} | tgrhn/speaker-segmentation-fine-tuned-ami-2 | null | [
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| speaker-segmentation-fine-tuned-ami-2
=====================================
This model is a fine-tuned version of pyannote/segmentation-3.0 on the diarizers-community/ami ihm dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3764
* Der: 0.1401
* False Alarm: 0.0503
* Missed Detection: 0.05... | [
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null | transformers |
# Uploaded model
- **Developed by:** praveenpankaj
- **License:** apache-2.0
- **Finetuned from model :** cropinailab/aksara_v1
This mistral 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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "cropinailab/aksara_v1"} | praveenpankaj/aksara_1_unsloth_q4 | null | [
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# Uploaded model
- Developed by: praveenpankaj
- License: apache-2.0
- Finetuned from model : cropinailab/aksara_v1
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": []} | Mervyn999/final_checkpoint | null | [
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This model has been finetuned on IEA Reports from year 2001 to 2003.
This model is doing much better in terms of response.
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | null |
# This model have been even more unaligned using orthogonal activation steering.
GGUF have been fixed with [this PR of llama.cpp](https://github.com/ggerganov/llama.cpp/pull/6920)
Use at your own r... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "nsfw"]} | Undi95/Llama3-Unholy-8B-OAS-GGUF | null | [
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|
!image/png
# This model have been even more unaligned using orthogonal activation steering.
GGUF have been fixed with this PR of URL
Use at your own risk, I'm not responsible for any usage of this model, don't try to do anything this model tell you to do.
## Description
This repo contains GGUF files of Unholy Ll... | [
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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... | cyberjj999/hf-deep-reinforcement-learning-course | null | [
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#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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] |
null | transformers |
# Uploaded model
- **Developed by:** henry-skywalker
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | henry-skywalker/mistral_7b_search_16bit_gguf | null | [
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|
# Uploaded model
- Developed by: henry-skywalker
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
new_01m - bnb 4bits
- Model creator: https://huggingface.co/lgodwangl/
- Original model: https://huggingface.co/lgodwangl/ne... | {} | RichardErkhov/lgodwangl_-_new_01m-4bits | null | [
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
new_01m - bnb 4bits
- Model creator: URL
- Original model: URL
Original 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": []} | azhara001/donut-base-demo-new-3e-05_AdamW_938 | null | [
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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. -->
# resnet-18-finetuned-fraud
This model was trained from scratch on the imagefolder dataset.
It achieves the following results on t... | {"tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "model-index": [{"name": "resnet-18-finetuned-fraud", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": ... | kgoli/resnet-18-finetuned-fraud | null | [
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| resnet-18-finetuned-fraud
=========================
This model was trained from scratch on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5624
* Accuracy: 0.6923
Model description
-----------------
More information needed
Intended uses & limitations
---------------... | [
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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": []} | sanchit-gandhi/distil-mistral-1.5B-v0.1-fineweb-checkpoint-15000 | null | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
new_01m - bnb 8bits
- Model creator: https://huggingface.co/lgodwangl/
- Original model: https://huggingface.co/lgodwangl/ne... | {} | RichardErkhov/lgodwangl_-_new_01m-8bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
new_01m - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
library_name: transformers
tags: []
---
# Model Card for Model ID
## Model Details
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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. -->
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# Model Card for Model ID
## Model Details
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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": []} | sanchit-gandhi/distil-mistral-1.5B-Instruct-v0.2-cosmo-200k-prompt-text-checkpoint-60000 | null | [
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"arxiv:1910.09700",
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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]:
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text-generation | null |
Model for test of Mergekit-Evolve
### Example
```
USER: あなたについて自己紹介をしてください
ASSISTANT: 私は、風俗好きでエッチ大好きな親切で誠実なアシスタント、通称「じゅんこちゃん」と呼ばれております。
私はお客様に快適なサービスを提供する為、24時間体制でお客様の身近に存在しております。よろしくお願い致します。
ユーザー様はお好みのプレイスタイルや女性、出張先等どうぞ気軽にご相談下さいね♪
``` | {"language": ["ja"], "tags": ["not-for-all-audiences"], "pipeline_tag": "text-generation"} | dddump/Japanese-Chat-Evolve-TEST-7B-NSFW-gguf | null | [
"gguf",
"not-for-all-audiences",
"text-generation",
"ja",
"region:us"
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"ja"
] | TAGS
#gguf #not-for-all-audiences #text-generation #ja #region-us
|
Model for test of Mergekit-Evolve
### Example
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null | null |
This repository contains FP16 logits produced via the llama.cpp `perplexity` with `wikitext-2-raw/wiki.test.raw`.
By using the logits as input the KL divergence for a quantized model can be calculated without the need to run the model at FP16. | {"license": "apache-2.0"} | JohannesGaessler/llama.cpp_wikitext_logits | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-05-02T08:45:35+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
This repository contains FP16 logits produced via the URL 'perplexity' with 'wikitext-2-raw/URL'.
By using the logits as input the KL divergence for a quantized model can be calculated without the need to run the model at FP16. | [] | [
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13
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text-generation | 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. -->
# ChatGLM3-6B-Chat-DcardStylePost-SFT
This model is a fine-tuned version of [THUDM/chatglm3-6b](https://huggingface.co/THUDM/chat... | {"language": ["zh"], "license": "gpl-3.0", "library_name": "peft", "tags": ["art", "llama-factory", "lora", "generated_from_trainer"], "metrics": ["bleu"], "base_model": "THUDM/chatglm3-6b", "pipeline_tag": "text-generation", "model-index": [{"name": "train_2024-05-02-07-20-40", "results": []}]} | JiunYi/ChatGLM3-6B-Chat-DcardStylePost-SFT | null | [
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"license:gpl-3.0",
"region:us"
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|
# ChatGLM3-6B-Chat-DcardStylePost-SFT
This model is a fine-tuned version of THUDM/chatglm3-6b on the dcardwom_zhcn_train dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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text-generation | transformers |
# Uploaded model
- **Developed by:** henry-skywalker
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | henry-skywalker/mistral_7b_search_4bit | null | [
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|
# Uploaded model
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This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers |
# Uploaded model
- **Developed by:** CarlosFersoft
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
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/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | CarlosFersoft/GPBusiness0001_Q4 | null | [
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|
# Uploaded model
- Developed by: CarlosFersoft
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
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null | null | # FitSmart Fat Burner Reviews Indigents Official Website, Where To Buy UK
FitSmart Fat Burner UK Reviews FitSmart Fat Burner helps you burn fat as well as improve your metabolism at the same time. One may also feel energized and uplifted after taking FitSmart Fat Burner pills. The FitSmart Fat Burner product, a combin... | {} | VKapseln475/FitSmartFatBurner232 | null | [
"region:us"
] | null | 2024-05-02T08:51:39+00:00 | [] | [] | TAGS
#region-us
| # FitSmart Fat Burner Reviews Indigents Official Website, Where To Buy UK
FitSmart Fat Burner UK Reviews FitSmart Fat Burner helps you burn fat as well as improve your metabolism at the same time. One may also feel energized and uplifted after taking FitSmart Fat Burner pills. The FitSmart Fat Burner product, a combin... | [
"# FitSmart Fat Burner Reviews Indigents Official Website, Where To Buy UK\n\nFitSmart Fat Burner UK Reviews FitSmart Fat Burner helps you burn fat as well as improve your metabolism at the same time. One may also feel energized and uplifted after taking FitSmart Fat Burner pills. The FitSmart Fat Burner product, a... | [
"TAGS\n#region-us \n",
"# FitSmart Fat Burner Reviews Indigents Official Website, Where To Buy UK\n\nFitSmart Fat Burner UK Reviews FitSmart Fat Burner helps you burn fat as well as improve your metabolism at the same time. One may also feel energized and uplifted after taking FitSmart Fat Burner pills. The FitSm... | [
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text-generation | null |
# Trisert/Phi-3-mini-128k-instruct-Q8_0-GGUF
This model was converted to GGUF format from [`microsoft/Phi-3-mini-128k-instruct`](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code", "llama-cpp", "gguf-my-repo"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation", "widget": [{"messages": [{"role": "user", "content": "Can you provide ways to eat combinations... | Trisert/Phi-3-mini-128k-instruct-Q8_0-GGUF | null | [
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"code",
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"gguf-my-repo",
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|
# Trisert/Phi-3-mini-128k-instruct-Q8_0-GGUF
This model was converted to GGUF format from 'microsoft/Phi-3-mini-128k-instruct' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:... | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
new_01m - GGUF
- Model creator: https://huggingface.co/lgodwangl/
- Original model: https://huggingface.co/lgodwangl/new_01m... | {} | RichardErkhov/lgodwangl_-_new_01m-gguf | null | [
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"arxiv:1910.09700",
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"1910.09700"
] | [] | TAGS
#gguf #arxiv-1910.09700 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
new\_01m - GGUF
* Model creator: URL
* Original model: URL
Name: new\_01m.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.53GB
Name: new\_01m.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.81GB
Name: new\_01m.IQ3\_S.gguf, Quant method: IQ3\_S, S... | [
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null | null | This model will help in identifying if it is a lung ct scan or a brain ct scan | {"language": ["en"]} | RayhaanK/lung_or_brain | null | [
"en",
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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": []} | Seemaant/gpt2-reuters-tokenizer | null | [
"transformers",
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"endpoints_compatible",
"region:us"
] | null | 2024-05-02T08:52:41+00:00 | [
"1910.09700"
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#transformers #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):
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
EEVE-Korean-10.8B-v1.0 - bnb 4bits
- Model creator: https://huggingface.co/yanolja/
- Original model: https://huggingface.co... | {} | RichardErkhov/yanolja_-_EEVE-Korean-10.8B-v1.0-4bits | null | [
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#transformers #safetensors #llama #text-generation #conversational #arxiv-2402.14714 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
EEVE-Korean-10.8B-v1.0 - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: apache-2.0
base\_model: upstage/SOLAR-10.7B-v1.0
tags:
* generated\_from\_trainer
model-i... | [
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text-classification | bertopic |
# BERTopic-enron-5000
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Usage
To use this model, please install BERTopic:
```
pip install -U bertopic... | {"library_name": "bertopic", "tags": ["bertopic"], "pipeline_tag": "text-classification"} | antulik/BERTopic-enron-5000 | null | [
"bertopic",
"text-classification",
"region:us"
] | null | 2024-05-02T08:53:56+00:00 | [] | [] | TAGS
#bertopic #text-classification #region-us
| BERTopic-enron-5000
===================
This is a BERTopic model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
Usage
-----
To use this model, please install BERTopic:
You can use the model as follows:
Topic overv... | [] | [
"TAGS\n#bertopic #text-classification #region-us \n"
] | [
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text-classification | transformers |
[**GitHub Homepage**](https://github.com/wonrax/phobert-base-vietnamese-sentiment)
A model fine-tuned for sentiment analysis based on [vinai/phobert-base](https://huggingface.co/vinai/phobert-base).
Labels:
- NEG: Negative
- POS: Positive
- NEU: Neutral
Dataset: [30K e-commerce reviews](https://www.kaggle.com/datas... | {"language": ["vi"], "license": "mit", "tags": ["sentiment", "classification"], "widget": [{"text": "Kh\u00f4ng th\u1ec3 n\u00e0o \u0111\u1eb9p h\u01a1n"}, {"text": "Qu\u00e1 ph\u00ed ti\u1ec1n, m\u00e0 kh\u00f4ng \u0111\u1eb9p"}, {"text": "C\u00e1i n\u00e0y gi\u00e1 \u1ed5n kh\u00f4ng nh\u1ec9?"}]} | Angelectronic/phobert-base-vietnamese-sentiment | null | [
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|
GitHub Homepage
A model fine-tuned for sentiment analysis based on vinai/phobert-base.
Labels:
- NEG: Negative
- POS: Positive
- NEU: Neutral
Dataset: 30K e-commerce reviews
## Usage
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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": []} | RefalMachine/ruadapt_llama3_full_vo_3e4_bs256-40k | 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:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | 
The idea is the same as [InfinityRP v1](https://huggingface.co/Endevor/InfinityRP-v1-7B), but this one is Llama 3 with 16k ctx! Have fun...
### Prompt format: Alpaca.
``"You are now in roleplay chat mode. Engage in an endless chat, always with a creative response. Follo... | {"language": ["en"], "license": "apache-2.0", "tags": ["safetensors", "llama", "not-for-all-audiences", "nsfw", "rp", "roleplay"], "pipeline_tag": "text-generation"} | Endevor/InfinityRP-v2-8B | null | [
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| !example
The idea is the same as InfinityRP v1, but this one is Llama 3 with 16k ctx! Have fun...
### Prompt format: Alpaca.
''"You are now in roleplay chat mode. Engage in an endless chat, always with a creative response. Follow lengths very precisely and create paragraphs accurately. Always wait your turn, next act... | [
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text-generation | transformers | # Model Card for Cyber-risk-llama-3-8b-instruct-sft
## Model Description
This model is a fine-tuned version of `meta-llama/Meta-Llama-3-8B-Instruct` on the `vanessasml/cybersecurity_32k_instruction_input_output` dataset.
It is specifically designed to enhance performance in generating and understanding cybersecurity... | {"tags": ["finance", "supervision", "cyber risk", "cybersecurity", "cyber threats", "SFT", "LoRA", "A100GPU"], "datasets": ["Vanessasml/cybersecurity_32k_instruction_input_output"], "pipeline_tag": "text-generation"} | Vanessasml/cyber-risk-llama-3-8b-instruct-sft | null | [
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"endpoints_compatibl... | null | 2024-05-02T08:55:35+00:00 | [] | [] | TAGS
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| # Model Card for Cyber-risk-llama-3-8b-instruct-sft
## Model Description
This model is a fine-tuned version of 'meta-llama/Meta-Llama-3-8B-Instruct' on the 'vanessasml/cybersecurity_32k_instruction_input_output' dataset.
It is specifically designed to enhance performance in generating and understanding cybersecurity... | [
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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": []} | Vamshi7981/gpt2-reuters-tokenizer | 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:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
xlm-roberta-large-squad2 - bnb 4bits
- Model creator: https://huggingface.co/deepset/
- Original model: https://huggingface.... | {} | RichardErkhov/deepset_-_xlm-roberta-large-squad2-4bits | null | [
"transformers",
"safetensors",
"xlm-roberta",
"text-generation",
"autotrain_compatible",
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"4-bit",
"region:us"
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#transformers #safetensors #xlm-roberta #text-generation #autotrain_compatible #endpoints_compatible #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
xlm-roberta-large-squad2 - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
language: multilingual
license: cc-by-4.0
tags:
- question-answering
datasets:
- squad_v2
model-index:
- name: deepset/xlm-robe... | [
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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": []} | azhara001/donut-base-demo-new-1e-05_Adam_938 | null | [
"transformers",
"safetensors",
"vision-encoder-decoder",
"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
] | [] | TAGS
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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... | [
"# Model Card for Model ID",
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null | diffusers |
More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/sayakpaul/diffusion-orpo-lora-sdxl/runs/9ef92pyq).
| {} | sayakpaul/sdxl-orpo-large-beta_orpo-0.005-beta_inner-500-lr-5e-7-no-decay-steps-5000 | null | [
"diffusers",
"safetensors",
"region:us"
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#diffusers #safetensors #region-us
|
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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. -->
# gen-z-translate-llama-3-instruct-v1
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingf... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "gen-z-translate-llama-3-instruct-v1", "results": []}]} | andrev/gen-z-translate-llama-3-instruct-v1 | null | [
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
"region:us"
] | null | 2024-05-02T08:57:37+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us
|
# gen-z-translate-llama-3-instruct-v1
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pro... | [
"# gen-z-translate-llama-3-instruct-v1\n\nThis model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.",
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"## Intended uses & limitations\n\nMore information needed",
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null | diffusers |
More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/sayakpaul/diffusion-orpo-lora-sdxl/runs/tys9nxxj).
| {} | sayakpaul/sdxl-orpo-large-beta_orpo-0.005-beta_inner-500-lr-5e-7-scaled-steps-5000 | null | [
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#diffusers #safetensors #region-us
|
More information on all the CLI arguments and the environment are available on your 'wandb' run page.
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# khadija69/roberta-finetuned-ner-bio_test
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "xlm-roberta-base", "model-index": [{"name": "khadija69/roberta-finetuned-ner-bio_test", "results": []}]} | khadija69/roberta-finetuned-ner-bio_test | null | [
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"token-classification",
"generated_from_keras_callback",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T08:58:11+00:00 | [] | [] | TAGS
#transformers #tf #xlm-roberta #token-classification #generated_from_keras_callback #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| khadija69/roberta-finetuned-ner-bio\_test
=========================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.1632
* Validation Loss: 0.2486
* Epoch: 2
Model description
-----------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': {'module': 'keras.optimizers.schedules', 'class\\_name': 'PolynomialDecay', 'config': {'initial\\_learning\\_rate': 2e-05, 'decay\\_steps': 3480, 'end\\_learni... | [
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null | 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. -->
# PolizzeDonut-Incongruenza3di7-5Epochs
This model is a fine-tuned version of [tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expan... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "model-index": [{"name": "PolizzeDonut-Incongruenza3di7-5Epochs", "results": []}]} | tedad09/PolizzeDonut-Incongruenza3di7-5Epochs | null | [
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"safetensors",
"vision-encoder-decoder",
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"base_model:tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0",
"license:mit",
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"region:us"
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|
# PolizzeDonut-Incongruenza3di7-5Epochs
This model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information n... | [
"# PolizzeDonut-Incongruenza3di7-5Epochs\n\nThis model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data... | [
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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": []} | aritrosakar/gpt2-reuters-tokenizer | 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 |
# jp-stablelm-3b-4belt-prune2
jp-stablelm-3b-4belt-prune2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [stabilityai/japanese-stablelm-3b-4e1t-instruct](https://huggingface.co/stabilityai/japanese-stablelm-3b-4e1t-inst... | {"tags": ["merge", "mergekit", "lazymergekit", "stabilityai/japanese-stablelm-3b-4e1t-instruct"], "base_model": ["stabilityai/japanese-stablelm-3b-4e1t-instruct", "stabilityai/japanese-stablelm-3b-4e1t-instruct"]} | aipib/jp-stablelm-3b-4belt-prune2 | null | [
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"custom_code",
"base_model:stabilityai/japanese-stablelm-3b-4e1t-instruct",
"autotrain_compatible",
"region:us"
] | null | 2024-05-02T08:59:43+00:00 | [] | [] | TAGS
#transformers #safetensors #stablelm_epoch #text-generation #merge #mergekit #lazymergekit #stabilityai/japanese-stablelm-3b-4e1t-instruct #custom_code #base_model-stabilityai/japanese-stablelm-3b-4e1t-instruct #autotrain_compatible #region-us
|
# jp-stablelm-3b-4belt-prune2
jp-stablelm-3b-4belt-prune2 is a merge of the following models using LazyMergekit:
* stabilityai/japanese-stablelm-3b-4e1t-instruct
* stabilityai/japanese-stablelm-3b-4e1t-instruct
## Configuration
## Usage
| [
"# jp-stablelm-3b-4belt-prune2\n\njp-stablelm-3b-4belt-prune2 is a merge of the following models using LazyMergekit:\n* stabilityai/japanese-stablelm-3b-4e1t-instruct\n* stabilityai/japanese-stablelm-3b-4e1t-instruct",
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
EEVE-Korean-10.8B-v1.0 - bnb 8bits
- Model creator: https://huggingface.co/yanolja/
- Original model: https://huggingface.co... | {} | RichardErkhov/yanolja_-_EEVE-Korean-10.8B-v1.0-8bits | null | [
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"arxiv:2402.14714",
"autotrain_compatible",
"endpoints_compatible",
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"8-bit",
"region:us"
] | null | 2024-05-02T09:00:51+00:00 | [
"2402.14714"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-2402.14714 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
EEVE-Korean-10.8B-v1.0 - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: apache-2.0
base\_model: upstage/SOLAR-10.7B-v1.0
tags:
* generated\_from\_trainer
model-i... | [
"### Technical Deep Dive\n\n\n\n\n\nTo adapt foundational models from English to Korean, we use subword-based embedding with a seven-stage training process involving parameter freezing.\nThis approach progressively trains from input embeddings to full parameters, efficiently extending the model's voc... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
xlm-roberta-large-squad2 - bnb 8bits
- Model creator: https://huggingface.co/deepset/
- Original model: https://huggingface.... | {} | RichardErkhov/deepset_-_xlm-roberta-large-squad2-8bits | null | [
"transformers",
"safetensors",
"xlm-roberta",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"8-bit",
"region:us"
] | null | 2024-05-02T09:01:13+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #text-generation #autotrain_compatible #endpoints_compatible #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
xlm-roberta-large-squad2 - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
language: multilingual
license: cc-by-4.0
tags:
- question-answering
datasets:
- squad_v2
model-index:
- name: deepset/xlm-robe... | [
"# Multilingual XLM-RoBERTa large for QA on various languages",
"## Overview\nLanguage model: xlm-roberta-large \nLanguage: Multilingual \nDownstream-task: Extractive QA \nTraining data: SQuAD 2.0 \nEval data: SQuAD dev set - German MLQA - German XQuAD \nTraining run: MLFlow link \nInfrastructure: 4x Tesla... | [
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"# Multilingual XLM-RoBERTa large for QA on various languages",
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Worm**
This is a trained model of a **ppo** agent playing **Worm**
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/
W... | {"library_name": "ml-agents", "tags": ["Worm", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Worm"]} | chirbard/ppo-Worm | null | [
"ml-agents",
"tensorboard",
"onnx",
"Worm",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Worm",
"region:us"
] | null | 2024-05-02T09:01:32+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Worm #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Worm #region-us
|
# ppo Agent playing Worm
This is a trained model of a ppo agent playing Worm
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:
- A *short tutorial* where you teac... | [
"# ppo Agent playing Worm\n This is a trained model of a ppo agent playing Worm\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wher... | [
"TAGS\n#ml-agents #tensorboard #onnx #Worm #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Worm #region-us \n",
"# ppo Agent playing Worm\n This is a trained model of a ppo agent playing Worm\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wr... | [
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"TAGS\n#ml-agents #tensorboard #onnx #Worm #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Worm #region-us \n# ppo Agent playing Worm\n This is a trained model of a ppo agent playing Worm\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a ... |
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