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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": []} | rohan2010/photoshopAI-rohan | 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 | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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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": []} | pcuenq/tiny-gemma-test | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Talosian-7B
Talosian-7B is a storytelling model built for the specific purpose of controllably writing new stories section-by-section.
It is trained from the new Mistral-7B v0.2 base model on a long-context dataset of smut stories. It can generalize to a variety of types of romance or erotic stories, but its voice... | {"language": ["en"], "library_name": "transformers"} | jspr/talosian-7b | null | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/cognitivecomputations-dolphin-2.6-mistral-7b-bnb-4bit-smashed | null | [
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![Twitter](URL
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video-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. -->
# videomae-base-finetuned-ssv2-finetuned-traffic-dataset-mae
This model is a fine-tuned version of [MCG-NJU/videomae-base-finetune... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base-finetuned-ssv2", "model-index": [{"name": "videomae-base-finetuned-ssv2-finetuned-traffic-dataset-mae", "results": []}]} | kalita/videomae-base-finetuned-ssv2-finetuned-traffic-dataset-mae | null | [
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| videomae-base-finetuned-ssv2-finetuned-traffic-dataset-mae
==========================================================
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-ssv2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1259
* Accuracy: 0.41
Model des... | [
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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": []} | heyllm234/s8 | 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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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | dt2022/model_skinquality | 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]:
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null | null |
# reach-vb/gemma-1.1-2b-it-Q2_K-GGUF
This model was converted to GGUF format from [`gg-hf/gemma-1.1-2b-it`](https://huggingface.co/gg-hf/gemma-1.1-2b-it) 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.c... | {"tags": ["llama-cpp", "gguf-my-repo"]} | ggml-org/gemma-1.1-2b-it-Q2_K-GGUF | null | [
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#gguf #llama-cpp #gguf-my-repo #region-us
|
# reach-vb/gemma-1.1-2b-it-Q2_K-GGUF
This model was converted to GGUF format from 'gg-hf/gemma-1.1-2b-it' 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: ... | [
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text-classification | setfit |
# SetFit with facebook/bart-large-mnli
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) as the Sentence Transformer embedding model. A [LogisticRegression](https:... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [{"text": "Hi Jonathan, I hope you're having safe travels along your way. I'm reaching out to you because you are a valued employee, and we appreciate your h... | gmenchetti/bart-large-mnli-empathy | null | [
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| SetFit with facebook/bart-large-mnli
====================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses facebook/bart-large-mnli as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
The model has been trained... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: facebook/bart-large-mnli\n* Classification head: a LogisticRegression instance\n* Maximum Sequence Length: 1024 tokens\n* Number of Classes: 2 classes",
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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": []} | pcuenq/tiny-gemma-test2 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated... | {"license": "apache-2.0", "library_name": "transformers"} | rrw-x2/KoSOLAR-10.7B-v2.1 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # IceLemonTeaRP-32k-7b-4.0bpw-h6-exl2
4.0bpw-h6-exl2 quant of [icefog72/IceLemonTeaRP-32k-7b](https://huggingface.co/icefog72/IceLemonTeaRP-32k-7b)
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Kunokukulemo... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge", "alpaca", "mistral", "not-for-all-audiences", "nsfw"], "base_model": ["icefog72/Kunokukulemonchini-32k-7b", "icefog72/Mixtral_AI_Cyber_3.m1-BigL", "LeroyDyer/Mixtral_AI_Cyber_3.m1", "Undi95/BigL-7B"]} | icefog72/IceLemonTeaRP-32k-7b-4.0bpw-h6-exl2 | null | [
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"base_model:Undi95/Big... | null | 2024-04-03T17:22:08+00:00 | [] | [] | TAGS
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4.0bpw-h6-exl2 quant of icefog72/IceLemonTeaRP-32k-7b
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Kunokukulemonchini-32k-7b
* Mixtral_AI_Cyber_3.m1-BigL
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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. -->
# mamba_text_classification_v1
This model was trained from scratch on the None dataset.
It achieves the following results on the e... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "mamba_text_classification_v1", "results": []}]} | ZeZanZiet/mamba_text_classification_v1 | null | [
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#transformers #pytorch #generated_from_trainer #endpoints_compatible #region-us
| mamba\_text\_classification\_v1
===============================
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5314
* Accuracy: 0.7525
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-1_5-finetuned-aqua-rat-AM-2k-r-8
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-AM-2k-r-8", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-AM-2k-r-8 | null | [
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|
# phi-1_5-finetuned-aqua-rat-AM-2k-r-8
This model is a fine-tuned version of microsoft/phi-1_5 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 h... | [
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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. -->
# wiki_asp-soccer_player_2619_bart-base
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-base", "model-index": [{"name": "wiki_asp-soccer_player_2619_bart-base", "results": []}]} | baek26/wiki_asp-soccer_player_2619_bart-base | null | [
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| wiki\_asp-soccer\_player\_2619\_bart-base
=========================================
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.3433
* Rouge1: 0.1482
* Rouge2: 0.046
* Rougel: 0.1233
* Rougelsum: 0.1234
* Gen Len:... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# NER-advance
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown data... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "NER-advance", "results": []}]} | neel-jotaniya/NER-advance | null | [
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| NER-advance
===========
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1363
* F1: 0.8658
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More ... | [
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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": []} | pcuenq/tiny-gemma-test3 | null | [
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## 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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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-large-cased-maplestory-ner
This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-large-cased", "model-index": [{"name": "bert-large-cased-maplestory-ner", "results": []}]} | nxaliao/bert-large-cased-maplestory-ner | null | [
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#transformers #tensorboard #safetensors #bert #token-classification #generated_from_trainer #base_model-bert-large-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert-large-cased-maplestory-ner
===============================
This model is a fine-tuned version of bert-large-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1530
* Precision: 0.7916
* Recall: 0.8156
* F1: 0.8034
* Accuracy: 0.9642
Model description
-------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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text-generation | transformers |
# LLama_passthrough
LLama_passthrough is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [Suchinthana/Sinhala-Translate-and-Dolly-Llama-7b](https://huggingface.co/Suchinthana/Sinhala-Translate-and-Dolly-Llama-7b)
* [austinm2151/Llama2-7b-Summarizer](https://huggingface.co/austin... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "Suchinthana/Sinhala-Translate-and-Dolly-Llama-7b", "austinm2151/Llama2-7b-Summarizer"]} | maryamwalid/LLama_passthrough | null | [
"transformers",
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"llama",
"text-generation",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region... | null | 2024-04-03T17:27:06+00:00 | [] | [] | TAGS
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|
# LLama_passthrough
LLama_passthrough is a merge of the following models using mergekit:
* Suchinthana/Sinhala-Translate-and-Dolly-Llama-7b
* austinm2151/Llama2-7b-Summarizer
## Configuration
| [
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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": []} | tanumoyghosh10/mistral-7b-instruct-QLoRA-v0 | null | [
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"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | transformers |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'unit8_ppo1'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'Lu... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | NicolasYn/ppo8-LunarLander-v2 | null | [
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"ppo",
"deep-reinforcement-learning",
"reinforcement-learning",
"custom-implementation",
"deep-rl-course",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T17:28:07+00:00 | [] | [] | TAGS
#transformers #tensorboard #LunarLander-v2 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #endpoints_compatible #region-us
|
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
| [
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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": []} | pcuenq/tiny-gemma-test4 | null | [
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"safetensors",
"gemma",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-03T17:28:07+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #feature-extraction #arxiv-1910.09700 #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ValiantLabs/Fireplace-34b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for the... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["fireplace", "function-calling", "code", "code-instruct", "conversational", "text-generation-inference", "valiant", "valiant-labs", "smaug", "yi", "yi-34b", "llama", "llama-2", "llama-2-chat", "34b"], "base_model": "ValiantLabs/Fireplace-... | mradermacher/Fireplace-34b-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
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": []} | pcuenq/tiny-gemma-test5 | null | [
"transformers",
"safetensors",
"gemma",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-03T17:30:09+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #feature-extraction #arxiv-1910.09700 #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | transformers |
# TRL Model
This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TR... | {"license": "apache-2.0", "tags": ["trl", "ppo", "transformers", "reinforcement-learning"]} | baek26/wiki_asp-software_3100_bart-base | null | [
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"trl",
"ppo",
"reinforcement-learning",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #trl #ppo #reinforcement-learning #license-apache-2.0 #endpoints_compatible #region-us
|
# TRL Model
This is a TRL language model that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TRL library:
You can then generate te... | [
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text-generation | transformers |
This is a one-layer base model with the LlaMA 2 architecture trained on 6B tokens of the algebraic-stack part of the Proof-pile 2 dataset. \
It's output distribution is thus mostly concerned with code.
The tokenizer is the LlaMA 2 one. I used the following hyper parameters:\
d<sub>model</sub> = 512 \
d<sub>ff</sub> =... | {"license": "llama2", "datasets": ["EleutherAI/proof-pile-2"]} | Ffohturk/Mila_1L | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"dataset:EleutherAI/proof-pile-2",
"license:llama2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-03T17:34:33+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #dataset-EleutherAI/proof-pile-2 #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
This is a one-layer base model with the LlaMA 2 architecture trained on 6B tokens of the algebraic-stack part of the Proof-pile 2 dataset. \
It's output distribution is thus mostly concerned with code.
The tokenizer is the LlaMA 2 one. I used the following hyper parameters:\
d<sub>model</sub> = 512 \
d<sub>ff</sub> =... | [] | [
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] |
text-to-image | keras |
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| na... | {"language": ["en"], "license": "apache-2.0", "library_name": "keras", "tags": ["image-classification", "mnist", "OCR", "text-to-image"], "metrics": ["accuracy"], "pipeline_tag": "text-to-image"} | yasirfaizahmed/mnist-digit-image-classification | null | [
"keras",
"image-classification",
"mnist",
"OCR",
"text-to-image",
"en",
"license:apache-2.0",
"region:us"
] | null | 2024-04-03T17:35:29+00:00 | [] | [
"en"
] | TAGS
#keras #image-classification #mnist #OCR #text-to-image #en #license-apache-2.0 #region-us
| Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------------
More information needed
Training procedure
------------------
### Training hyperparameters
The following h... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:"
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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | dt2022/image_age_skinquality | null | [
"transformers",
"safetensors",
"vit",
"image-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T17:37:25+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #vit #image-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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video-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. -->
# videomae-base-finetuned-kinetics-finetuned-ucf101-subset
This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base-finetuned-kinetics", "model-index": [{"name": "videomae-base-finetuned-kinetics-finetuned-ucf101-subset", "results": []}]} | ninhnguyendx779/videomae-base-finetuned-kinetics-finetuned-ucf101-subset | null | [
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"safetensors",
"videomae",
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"generated_from_trainer",
"base_model:MCG-NJU/videomae-base-finetuned-kinetics",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T17:39:49+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #videomae #video-classification #generated_from_trainer #base_model-MCG-NJU/videomae-base-finetuned-kinetics #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| videomae-base-finetuned-kinetics-finetuned-ucf101-subset
========================================================
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0742
* Accuracy: 0.9871
Model d... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/TinyPixel-Llama-2-7B-bf16-sharded-bnb-4bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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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. -->
# impaired-v3-independent-moderate
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/w... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["honzapucalek/impaired_v3_independent_moderate"], "metrics": ["wer"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "impaired-v3-independent-moderate", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Au... | honzapucalek/impaired-v3-independent-moderate | null | [
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"license:apache-2.0",
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| impaired-v3-independent-moderate
================================
This model is a fine-tuned version of openai/whisper-large-v3 on the honzapucalek/impaired\_v3\_independent\_moderate cs dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6960
* Wer: 0.1978
Model description
--------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | alokabhishek/falcon-7b-instruct-bnb-8bit | null | [
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"8-bit",
"region:us"
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"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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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep01 | 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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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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 Base Chinese-Mandarin
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-... | {"language": ["zh"], "license": "apache-2.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_0"], "metrics": ["wer"], "base_model": "openai/whisper-base", "model-index": [{"name": "Whisper Base Chinese-Mandarin", "results": [{"task": {"type": "automatic-speech-reco... | arun100/whisper-base-cn-1 | null | [
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| Whisper Base Chinese-Mandarin
=============================
This model is a fine-tuned version of openai/whisper-base on the mozilla-foundation/common\_voice\_16\_0 zh-CN dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5263
* Wer: 89.1344
Model description
-----------------
More info... | [
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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-base-sroie-test
This model is a fine-tuned version of [davelotito/donut-base-sroie-test](https://huggingface.co/davelotito... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["bleu", "wer"], "base_model": "davelotito/donut-base-sroie-test", "model-index": [{"name": "donut-base-sroie-test", "results": []}]} | davelotito/donut-base-sroie-test | null | [
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| donut-base-sroie-test
=====================
This model is a fine-tuned version of davelotito/donut-base-sroie-test on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3913
* Bleu: 0.0706
* Precisions: [0.8125, 0.7440860215053764, 0.7064676616915423, 0.6637168141592921]
* B... | [
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text-generation | transformers | "TurkuNLP/gpt3-finnish-xl" model finetuned with alpaca dataset
Prompt example:
```
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
who is Mark zuckerberg
### Response:
Mark Zuckerberg is a Facebook CEO and a privately owned Facebook business... | {"language": ["en"], "license": "mit", "datasets": ["tatsu-lab/alpaca"], "inference": {"parameters": {"temperature": 0.15, "do_sample": true, "top_p": 0.14, "top_k": 45, "max_new_tokens": 150, "repetition_penalty": 1.1}}} | CreitinGameplays/gpt3-finnish-xl-alpaca | null | [
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| "TurkuNLP/gpt3-finnish-xl" model finetuned with alpaca dataset
Prompt example:
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-1_5-finetuned-aqua-rat-AM-2k-r-24
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-AM-2k-r-24", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-AM-2k-r-24 | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-1_5",
"license:mit",
"region:us"
] | null | 2024-04-03T17:45:48+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us
|
# phi-1_5-finetuned-aqua-rat-AM-2k-r-24
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training ... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="Jyothishwar/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | Jyothishwar/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-03T17:47:40+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-chat-hf"} | achillon/Llama-2-7b-chat-hf-fine-tuned-adapters | null | [
"peft",
"arxiv:1910.09700",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
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"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-chat-hf"} | achillon/Llama-2-7b-chat-hf-fine-tuned | null | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="Jyothishwar/Qtable_taxi", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False ... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Qtable_taxi", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 ... | Jyothishwar/Qtable_taxi | null | [
"Taxi-v3",
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"reinforcement-learning",
"custom-implementation",
"model-index",
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#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
text-generation | transformers |
# HeatherSpellGen3
HeatherSpellGen3 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [MysticFoxMa... | {"tags": ["merge", "mergekit", "lazymergekit", "MysticFoxMagic/HeatherSpell-7b", "CultriX/MergeCeption-7B-v3"], "base_model": ["MysticFoxMagic/HeatherSpell-7b", "CultriX/MergeCeption-7B-v3"]} | MysticFoxMagic/HeatherSpellGen3 | null | [
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"autotrain_compatible",
"endpoints_compatibl... | null | 2024-04-03T17:51:10+00:00 | [] | [] | TAGS
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|
!image/jpeg
# HeatherSpellGen3
HeatherSpellGen3 is a merge of the following models using LazyMergekit:
* MysticFoxMagic/HeatherSpell-7b
* CultriX/MergeCeption-7B-v3
## Configuration
## Usage
| [
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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": []} | vaibhavad/mistral-test-simcse-mean | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- License... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# raid-fine-tuned-gpt2-medium-arabic-poetry
This model is a fine-tuned version of [elgeish/gpt2-medium-arabic-poetry](https://hugg... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "elgeish/gpt2-medium-arabic-poetry", "model-index": [{"name": "raid-fine-tuned-gpt2-medium-arabic-poetry", "results": []}]} | ellzo/raid-fine-tuned-gpt2-medium-arabic-poetry | null | [
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| raid-fine-tuned-gpt2-medium-arabic-poetry
=========================================
This model is a fine-tuned version of elgeish/gpt2-medium-arabic-poetry on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5802
Model description
-----------------
More information needed
I... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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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. -->
# mistral_7b_dpo
This model is a fine-tuned version of [unsloth/mistral-7b-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-bnb... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "unsloth", "generated_from_trainer"], "base_model": "unsloth/mistral-7b-bnb-4bit", "model-index": [{"name": "mistral_7b_dpo", "results": []}]} | olesya2096/mistral_7b_dpo | null | [
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|
# mistral_7b_dpo
This model is a fine-tuned version of unsloth/mistral-7b-bnb-4bit on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparame... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | nlp-group-6/sciq-options-generator-generated-questions | null | [
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"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]:
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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 - HiImKing1509/sdxl-animev2-lora-CraionCraionCrainon-20imgs
<Gallery />
## Model description
The... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "Linaqruf/animagine-xl-2.0", "instance_prompt": "a CraionCraionCrainon old man", "widget... | HiImKing1509/sdxl-animev2-lora-CraionCraionCrainon-20imgs | null | [
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"license:openrail++",
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|
# SDXL LoRA DreamBooth - HiImKing1509/sdxl-animev2-lora-CraionCraionCrainon-20imgs
<Gallery />
## Model description
These are HiImKing1509/sdxl-animev2-lora-CraionCraionCrainon-20imgs LoRA adaption weights for Linaqruf/animagine-xl-2.0.
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "t5-large"} | geektech/t5-large-lora-relation-gpt4 | null | [
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text-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. -->
# Electro98/my_awesome_model_v2
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distil... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "Electro98/my_awesome_model_v2", "results": []}]} | Electro98/my_awesome_model_v2 | null | [
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| Electro98/my\_awesome\_model\_v2
================================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.1620
* Validation Loss: 0.1617
* Train F1: 0.0731
* Train Accuracy: 0.1217
* Epoc... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-1_5-finetuned-aqua-rat-AM-2k-r-32
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-AM-2k-r-32", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-AM-2k-r-32 | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us
|
# phi-1_5-finetuned-aqua-rat-AM-2k-r-32
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training ... | [
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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": []} | areegtarek/idefics-9b-instruct-abnormal3epochs | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "google/flan-t5-large"} | geektech/flan-t5-large-lora-relation-gpt4 | null | [
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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. -->
# t5_small_ft_uncleanedCombinedSub
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google-t5/t5-small", "model-index": [{"name": "t5_small_ft_uncleanedCombinedSub", "results": []}]} | lkh9908/t5_small_ft_uncleanedCombinedSub | null | [
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| t5\_small\_ft\_uncleanedCombinedSub
===================================
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.3532
* Rouge1: 39.3916
* Rouge2: 14.7174
* Rougel: 28.7765
* Rougelsum: 36.2926
* Gen Len: 96.516... | [
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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": []} | saransh03sharma/cmumosei-llama-2-7b-50 | 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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reinforcement-learning | transformers |
# TRL Model
This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TR... | {"license": "apache-2.0", "tags": ["trl", "ppo", "transformers", "reinforcement-learning"]} | baek26/wiki_asp-written_work_4057_bart-base | null | [
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|
# TRL Model
This is a TRL language model that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TRL library:
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null | keras |
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| na... | {"library_name": "keras"} | mayaseale/Monkey_Image_Classifier | null | [
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-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------------
More information needed
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------------------
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The following h... | [
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] |
text-generation | transformers | <h1>The-Trinity-Coder-7B: 3 Blended Coder Models - Unified Coding Intelligence</h1>
<p><strong>Overview</strong></p>
<p>The-Trinity-Coder-7B derives from the fusion of three distinct AI models, each ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["Code Generation", "Logical Reasoning", "Problem Solving", "Text Generation", "AI Programming Assistant"]} | kisimoff/The-Trinity-Coder-7B_exl2_5bpw | null | [
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| <h1>The-Trinity-Coder-7B: 3 Blended Coder Models - Unified Coding Intelligence</h1>
!image/png
<p><strong>Overview</strong></p>
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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. -->
# prueba_04_04
This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "dccuchile/bert-base-spanish-wwm-cased", "model-index": [{"name": "prueba_04_04", "results": []}]} | mrovejaxd/prueba_04_04 | null | [
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|
# prueba_04_04
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5048
- Accuracy: 0.8092
- F1: 0.7528
## Model description
More information needed
## Intended uses & limitations
More information n... | [
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text-generation | transformers |
# TituLM-1B-ENBN-V1
TituLM-1B-ENBN-V1 is a large language model specifically trained for generating and understanding English and Bangla text. Utilizing a decoder-style transformer architecture, this model has been extensively trained on a dataset comprising __43.19__ billion Bangla, English and codes tokens. This mo... | {"language": ["en", "bn"], "license": "apache-2.0", "datasets": ["togethercomputer/RedPajama-Data-V2", "uonlp/CulturaX", "wikipedia"], "pipeline_tag": "text-generation"} | hishab/titulm-1b-enbn-v1 | null | [
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| TituLM-1B-ENBN-V1
=================
TituLM-1B-ENBN-V1 is a large language model specifically trained for generating and understanding English and Bangla text. Utilizing a decoder-style transformer architecture, this model has been extensively trained on a dataset comprising **43.19** billion Bangla, English and codes... | [] | [
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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. -->
# DreamBooth - XeroTech/corgy_maayaoberoi_DreamBooth_person
This is a dreambooth model derived from CompVis/stable-diffus... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "CompVis/stable-diffusion-v1-4", "inference": true, "instance_prompt": "a photo of maayaoberoi person"} | XeroTech/corgy_maayaoberoi_DreamBooth_person | null | [
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"region:... | null | 2024-04-03T18:18:01+00:00 | [] | [] | TAGS
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|
# DreamBooth - XeroTech/corgy_maayaoberoi_DreamBooth_person
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of maayaoberoi person using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-de-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-robert... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de-fr", "results": []}]} | neel-jotaniya/xlm-roberta-base-finetuned-panx-de-fr | null | [
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| xlm-roberta-base-finetuned-panx-de-fr
=====================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1639
* F1: 0.8591
Model description
-----------------
More information needed
Intended uses... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | steve1989/FlanT5_financial_summarization_finetuned | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
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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": []} | jmcastelo17/wav2vec2-Designing-AI | 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 | <!-- header start -->
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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | SyntaxTheRed/rl_course_vizdoom_health_gathering_supreme | null | [
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|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
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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": []} | Rmote6603/Mistral-7b-JD | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-1_5-finetuned-aqua-rat-AM-2k-r-40
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-AM-2k-r-40", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-AM-2k-r-40 | null | [
"peft",
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"generated_from_trainer",
"base_model:microsoft/phi-1_5",
"license:mit",
"region:us"
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us
|
# phi-1_5-finetuned-aqua-rat-AM-2k-r-40
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training ... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | steve1989/FlanT5_financial_question_answering_finetuned | 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]:
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- License... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | SOUMYADEEPSAR/bert_subj512 | 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 |
# 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": []} | twhoool02/Llama-2-7b-chat-hf-AutoGPTQ | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Funded by [optional]:
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/arlineka/KittyNyanster-v1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for the... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["roleplay", "chat", "mistral"], "base_model": "arlineka/KittyNyanster-v1", "quantized_by": "mradermacher"} | mradermacher/KittyNyanster-v1-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers |
## EXL2 Quants of MythoLogic-L2-13b
2.2bpw seems to be the lowest you can go.
Uses around 8GB at 4096 context length, 9GB at 5120, and 10GB at 6144 context.
Original model: https://huggingface.co/Gryphe/MythoLogic-L2-13b
---
license: other
--- | {"language": ["en"], "license": "other"} | BoredBrownBear/MythoMax-L2-13b-2.2bpw-exl2 | null | [
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] | TAGS
#transformers #llama #text-generation #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
## EXL2 Quants of MythoLogic-L2-13b
2.2bpw seems to be the lowest you can go.
Uses around 8GB at 4096 context length, 9GB at 5120, and 10GB at 6144 context.
Original model: URL
---
license: other
--- | [
"## EXL2 Quants of MythoLogic-L2-13b\n\n2.2bpw seems to be the lowest you can go.\n\nUses around 8GB at 4096 context length, 9GB at 5120, and 10GB at 6144 context. \n\nOriginal model: URL\n \n---\nlicense: other\n---"
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"TAGS\n#transformers #llama #text-generation #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n## EXL2 Quants of MythoLogic-L2-13b\n\n2.2bpw seems to be the lowest you can go.\n\nUses around 8GB at 4096 context length, 9GB at 5120, and 10GB at 6144 context. \n\nO... |
text-generation | transformers | # Nontoxic-PiVoT-Bagel-RP-34b
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
GGUFs by mradermacher if you want 'em:
https://huggingface.co/mradermacher/Nontoxic-PiVoT-Bagel-RP-34b-GGUF
## Merge Details
Just uploading one of my stew's merge pieces here fo... | {"license": "other", "tags": ["mergekit", "merge"], "license_name": "yi-34b", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE"} | ParasiticRogue/Nontoxic-PiVoT-Bagel-RP-34b | null | [
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"mergekit",
"merge",
"conversational",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-03T18:31:42+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #mergekit #merge #conversational #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Nontoxic-PiVoT-Bagel-RP-34b
This is a merge of pre-trained language models created using mergekit.
GGUFs by mradermacher if you want 'em:
URL
## Merge Details
Just uploading one of my stew's merge pieces here for convenience. If you want to use it you can. Vicuna should work good for the format.
### Merge Meth... | [
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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": []} | 0x0son0/ml_10 | 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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- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License... | [
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video-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. -->
# videomae-small-finetuned-ssv2-finetuned-traffic-dataset-mae
This model is a fine-tuned version of [MCG-NJU/videomae-small-finetu... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-small-finetuned-ssv2", "model-index": [{"name": "videomae-small-finetuned-ssv2-finetuned-traffic-dataset-mae", "results": []}]} | kalita/videomae-small-finetuned-ssv2-finetuned-traffic-dataset-mae | null | [
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| videomae-small-finetuned-ssv2-finetuned-traffic-dataset-mae
===========================================================
This model is a fine-tuned version of MCG-NJU/videomae-small-finetuned-ssv2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0486
* Accuracy: 1.0
Model d... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\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\\_ratio: ... | [
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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. -->
# linker_v2
This model is a fine-tuned version of [jarod0411/zinc10M_gpt2-medium_SMILES_step1](https://huggingface.co/jarod0411/zi... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "jarod0411/zinc10M_gpt2-medium_SMILES_step1", "model-index": [{"name": "linker_v2", "results": []}]} | jarod0411/linker_v2 | null | [
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"text-generation",
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"base_model:jarod0411/zinc10M_gpt2-medium_SMILES_step1",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-03T18:33:06+00:00 | [] | [] | TAGS
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| linker\_v2
==========
This model is a fine-tuned version of jarod0411/zinc10M\_gpt2-medium\_SMILES\_step1 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3096
* Accuracy: 0.8994
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 1\n* distributed\\_type: multi-GPU\n* num\\_devices: 8\n* total\\_train\\_batch\\_size: 64\n* total\\_eval\\_batch\\_size: 64\n* opt... | [
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text-generation | transformers |
# Model Card for alokabhishek/gemma-7b-it-GGUF
<!-- Provide a quick summary of what the model is/does. -->
This repo GGUF quantized version of Google's gemma-7b-it model using llama.cpp.
## Model Details
- Model creator: [Google](https://huggingface.co/google)
- Original model: [gemma-7b-it](https://huggingface.c... | {"license": "gemma", "library_name": "transformers", "tags": ["GGUF", "quantized", "Q4_K_M", "Q5_K_M", "4bit", "5bit", "Gemma", "Gemma-7B", "Google"], "pipeline_tag": "text-generation"} | alokabhishek/gemma-7b-it-GGUF | null | [
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============================================
This repo GGUF quantized version of Google's gemma-7b-it model using URL.
Model Details
-------------
* Model creator: Google
* Original model: gemma-7b-it
### About GGUF quantization using URL
* URL github repo: URL git... | [
"### About GGUF quantization using URL\n\n\n* URL github repo: URL github repo\n* llama-cpp-python github repo: llama-cpp-python github repo\n\n\nHow to Get Started with the Model\n=================================\n\n\nUse the code below to get started with the model.\n\n\nHow to run from Python code\n------------... | [
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text-to-image | diffusers | # Satoru gojo
<Gallery />
## Trigger words
You should use `Satoru gojo` to trigger the image generation.
## Download model
[Download](/STELLAgghg/Satorugojo/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "Satoru gojo rindo ", "output": {"url": "images/5fc2fade-2cde-4361-a2f4-7775a5abae5b.jpeg"}}], "base_model": "stabilityai/stable-cascade", "instance_prompt": "Satoru gojo"} | STELLAgghg/Satorugojo | null | [
"diffusers",
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"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-cascade",
"region:us"
] | null | 2024-04-03T18:35:10+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/stable-cascade #region-us
| # Satoru gojo
<Gallery />
## Trigger words
You should use 'Satoru gojo' to trigger the image generation.
## Download model
Download them in the Files & versions tab.
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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_cppe5
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr-resnet-50_finetuned_cppe5", "results": []}]} | paolocl/detr-resnet-50_finetuned_cppe5 | null | [
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"detr",
"object-detection",
"generated_from_trainer",
"base_model:facebook/detr-resnet-50",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T18:36:08+00:00 | [] | [] | TAGS
#transformers #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us
|
# detr-resnet-50_finetuned_cppe5
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training... | [
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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... | {"license": "apache-2.0", "library_name": "transformers", "pipeline_tag": "text-generation", "model-index": [{"name": "internlmbode-7b", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "ENEM Challenge (No Images)", "type": "eduagarcia/enem_challenge", "split": "train", "... | recogna-nlp/internlmbode-7b | 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:
* Lang... | [
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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. -->
# wav2vec2-large-xls-r-300m-tr-cv16.1-colab
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingfa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_16_1"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "wav2vec2-large-xls-r-300m-tr-cv16.1-colab", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech... | rumeyskeskn/wav2vec2-large-xls-r-300m-tr-cv16.1-colab | null | [
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] | null | 2024-04-03T18:38:16+00:00 | [] | [] | TAGS
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| wav2vec2-large-xls-r-300m-tr-cv16.1-colab
=========================================
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common\_voice\_16\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2481
* Wer: 0.2776
Model description
-----------------
Mo... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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null | transformers |
# Uploaded model
- **Developed by:** Ricky080811
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-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.com/unslothai/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | Ricky080811/Test10k | null | [
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"license:apache-2.0",
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"region:us"
] | null | 2024-04-03T18:39:36+00:00 | [] | [
"en"
] | TAGS
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|
# Uploaded model
- Developed by: Ricky080811
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-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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] | [
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text-generation | transformers |
# Qra-1b-dolly-instruction-0.1
This model if a fine-tuned version of [OPI-PG/Qra-1b](https://huggingface.co/OPI-PG/Qra-1b) on the [s3nh/alpaca-dolly-instruction-only-polish](https://huggingface.co/datasets/s3nh/alpaca-dolly-instruction-only-polish) dataset.
## Model Description
Trained from [OPI-PG/Qra-1b](https://... | {"language": ["pl"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["s3nh/alpaca-dolly-instruction-only-polish"], "inference": true, "pipeline_tag": "text-generation", "model-index": [{"name": "Qra-1b-dolly-instruction-0.1", "results": []}]} | nie3e/Qra-1b-dolly-instruction-0.1 | null | [
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] | null | 2024-04-03T18:39:43+00:00 | [] | [
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|
# Qra-1b-dolly-instruction-0.1
This model if a fine-tuned version of OPI-PG/Qra-1b on the s3nh/alpaca-dolly-instruction-only-polish dataset.
## Model Description
Trained from OPI-PG/Qra-1b
## Intended uses & limitations
This model has been fine-tuned for question-answering task. It is possible to use it as a chat... | [
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text-generation | transformers |
# KunoichiVerse-7B
# Description
KunoichiVerse-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [... | {"language": ["en"], "license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": ["Nitral-AI/Kunocchini-7b-128k-test", "MTSAIR/multi_verse_model"]} | Ppoyaa/KunoichiVerse-7B | null | [
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"endpoints_compati... | null | 2024-04-03T18:40:55+00:00 | [] | [
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|
# KunoichiVerse-7B
!image/png
# Description
KunoichiVerse-7B is a merge of the following models using LazyMergekit:
* Nitral-AI/Kunocchini-7b-128k-test
* MTSAIR/multi_verse_model
This model uses a context window of 128k. Special thanks to Nitral-AI and MTSAIR for the models.
# GGUF
Special thanks to GGUFs made b... | [
"# KunoichiVerse-7B\n\n!image/png",
"# Description\n\nKunoichiVerse-7B is a merge of the following models using LazyMergekit:\n* Nitral-AI/Kunocchini-7b-128k-test\n* MTSAIR/multi_verse_model\n\nThis model uses a context window of 128k. Special thanks to Nitral-AI and MTSAIR for the models.",
"# GGUF\n\nSpecial ... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/rrw-x2/KoSOLAR-10.7B-DPO-v1.0
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "rrw-x2/KoSOLAR-10.7B-DPO-v1.0", "quantized_by": "mradermacher"} | mradermacher/KoSOLAR-10.7B-DPO-v1.0-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #en #base_model-rrw-x2/KoSOLAR-10.7B-DPO-v1.0 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
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... | gespitia1/moon-lander-v1 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-03T18:45:16+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
text-generation | transformers |
# Uploaded model
- **Developed by:** Ricky080811
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-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.com/unslothai/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | Ricky080811/Test10k_FullModel | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T18:45:19+00:00 | [] | [
"en"
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|
# Uploaded model
- Developed by: Ricky080811
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: Ricky080811\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #text-generation-inference #unsloth #trl #sft #en #base_model-unsloth/mistral-7b-bnb-4bit #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/Salesforce-codegen-350M-nl-bnb-8bit-smashed | null | [
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#transformers #safetensors #codegen #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #8-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/facebook-xglm-564M-bnb-4bit-smashed | null | [
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#transformers #safetensors #xglm #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #4-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/togethercomputer-Llama-2-7B-32K-Instruct-bnb-4bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/HuggingFaceH4-mistral-7b-sft-beta-bnb-4bit-smashed | null | [
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#transformers #safetensors #mistral #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
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text-classification | transformers |
# Model Card for Model ID
This model identifies foreign code and determines the recognized programming language.
It is currently not further trained and has been completely adopted by huggingface/CodeBERTa-language-id.
[source: https://huggingface.co/huggingface/CodeBERTa-language-id ]
## Model Details
### Model ... | {"license": "apache-2.0", "library_name": "transformers", "datasets": ["code_search_net"]} | malteklaes/based-CodeBERTa-language-id-llm-module | null | [
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"safetensors",
"roberta",
"text-classification",
"dataset:code_search_net",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T18:52:06+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #roberta #text-classification #dataset-code_search_net #arxiv-1910.09700 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
This model identifies foreign code and determines the recognized programming language.
It is currently not further trained and has been completely adopted by huggingface/CodeBERTa-language-id.
[source: URL ]
## Model Details
### Model Description
This is the model card of a transform... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/beomi-llama-2-ko-7b-bnb-4bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | WokeEngineer/rl_course_vizdoom_health_gathering_supreme | null | [
"sample-factory",
"tensorboard",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-03T18:53:11+00:00 | [] | [] | TAGS
#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the mod... | [
"## Downloading the model\n\nAfter installing Sample-Factory, download the model with:",
"## Using the model\n\nTo run the model after download, use the 'enjoy' script corresponding to this environment:\n\n\n\nYou can also upload models to the Hugging Face Hub using the same script with the '--push_to_hub' flag.\... | [
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text-to-image | diffusers | # SATORU888888
<Gallery />
## Model description
## Download model
[Download](/STELLAgghg/SATORU888888/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "Satoru gojo cria uma bola de energia ", "output": {"url": "images/0eb05922-e057-4f58-982e-486f191c426e.jpeg"}}], "base_model": "playgroundai/playground-v2.5-1024px-aesthetic"} | STELLAgghg/SATORU888888 | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:playgroundai/playground-v2.5-1024px-aesthetic",
"region:us"
] | null | 2024-04-03T18:54:18+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-playgroundai/playground-v2.5-1024px-aesthetic #region-us
| # SATORU888888
<Gallery />
## Model description
!Gojo Satoru (2).jpeg
## Download model
Download them in the Files & versions tab.
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] |
text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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#transformers #safetensors #mistral #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
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"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
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