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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-PixelCopter-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter... | aw-infoprojekt/Reinforce-PixelCopter-v1 | null | [
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"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
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#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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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. -->
# zephyr-7b-dpo-qlora
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-qlora](https://huggingface.co/alignm... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-dpo-qlora", "results": []}]} | junweiliao/zephyr-7b-dpo-qlora | null | [
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"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
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| zephyr-7b-dpo-qlora
===================
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-qlora on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4877
* Rewards/chosen: -2.5728
* Rewards/rejected: -3.6607
* Rewards/accuraci... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-06\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 2\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 16\n*... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-cartpole01", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"... | Dejauxvue/Reinforce-cartpole01 | null | [
"CartPole-v1",
"reinforce",
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"custom-implementation",
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#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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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": []} | udmurtNLP/zerpal-original-glot500-pos-tagger | null | [
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"1910.09700"
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#transformers #safetensors #xlm-roberta #feature-extraction #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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object-detection | 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": []} | rdharmal1/detr-finetuned-sku110k-v2 | null | [
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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": []} | rdharmal1/detr-finetuned-sku100k-v2 | 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 | null |
# vectorventures/Llama-3-8b-64k-PoSE-Q6_K-GGUF
This model was converted to GGUF format from [`winglian/Llama-3-8b-64k-PoSE`](https://huggingface.co/winglian/Llama-3-8b-64k-PoSE) 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 car... | {"language": ["en"], "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | vectorventures/Llama-3-8b-64k-PoSE-Q6_K-GGUF | null | [
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"pytorch",
"llama",
"llama-3",
"llama-cpp",
"gguf-my-repo",
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|
# vectorventures/Llama-3-8b-64k-PoSE-Q6_K-GGUF
This model was converted to GGUF format from 'winglian/Llama-3-8b-64k-PoSE' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
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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. -->
# robust_llm_pythia-410m_mz-130_IMDB_n-its-10-seed-4
This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "robust_llm_pythia-410m_mz-130_IMDB_n-its-10-seed-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-410m_mz-130_IMDB_n-its-10-seed-4 | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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|
# robust_llm_pythia-410m_mz-130_IMDB_n-its-10-seed-4
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
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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-ep33 | 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 |
# JSL-MedMX-7X
[<img src="https://repository-images.githubusercontent.com/104670986/2e728700-ace4-11ea-9cfc-f3e060b25ddf">](http://www.johnsnowlabs.com)
This model is developed by [John Snow Labs](https://www.johnsnowlabs.com/).
Performance on biomedical benchmarks: [Open Medical LLM Leaderboard](https://huggingfa... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["medical"]} | johnsnowlabs/JSL-MedMX-7X | null | [
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| JSL-MedMX-7X
============
<img src="URL
This model is developed by John Snow Labs.
Performance on biomedical benchmarks: Open Medical LLM Leaderboard.
This model is available under a CC-BY-NC-ND license and must also conform to this Acceptable Use Policy. If you need to license this model for commercial use, plea... | [] | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_... | {"library_name": "peft"} | lekhapinninti/llama-2-7b-enhanced-5epoch | null | [
"peft",
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#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
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- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
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- llm_int8_has_fp16_weight: False
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | hossniper/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
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#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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text2text-generation | transformers |
# BART-LARGE-CNN fine-tuned on SYNTHETIC_TEXT_TO_SQL
Generate SQL query from Natural Language question with a SQL context.
## Model Details
### Model Description
BART from facebook/bart-large-cnn is fintuned on gretelai/synthetic_text_to_sql dataset to generate SQL from NL and SQL context
- **Model type:** BAR... | {"language": ["en"], "library_name": "transformers", "tags": ["natural language", "SQL", "text2sql", "nl2sql"], "datasets": ["gretelai/synthetic_text_to_sql"], "metrics": ["rouge"], "widget": [{"text": "sql_prompt: What is the monthly voice usage for each customer in the Mumbai region? sql_context: CREATE TABLE custome... | SwastikM/bart-large-nl2sql | null | [
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"model-index",
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"autotrain_compatible",
"endpoint... | null | 2024-04-25T12:43:37+00:00 | [
"1910.13461"
] | [
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] | TAGS
#transformers #safetensors #bart #text2text-generation #natural language #SQL #text2sql #nl2sql #en #dataset-gretelai/synthetic_text_to_sql #arxiv-1910.13461 #base_model-facebook/bart-large-cnn #model-index #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us
|
# BART-LARGE-CNN fine-tuned on SYNTHETIC_TEXT_TO_SQL
Generate SQL query from Natural Language question with a SQL context.
## Model Details
### Model Description
BART from facebook/bart-large-cnn is fintuned on gretelai/synthetic_text_to_sql dataset to generate SQL from NL and SQL context
- Model type: BART
- ... | [
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fill-mask | 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-base-uncased-issues-128
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-uncased", "model-index": [{"name": "bert-base-uncased-issues-128", "results": []}]} | taoyoung/bert-base-uncased-issues-128 | null | [
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"license:apache-2.0",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-25T12:45:26+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #fill-mask #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert-base-uncased-issues-128
============================
This model is a fine-tuned version of bert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2249
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: 32\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: 16",
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# speaker-segmentation-fine-tuned-callhome-jpn
This model is a fine-tuned version of [pyannote/segmentation-3.0](https://huggingfa... | {"license": "mit", "tags": ["speaker-diarization", "speaker-segmentation", "generated_from_trainer"], "datasets": ["diarizers-community/callhome"], "base_model": "pyannote/segmentation-3.0", "model-index": [{"name": "speaker-segmentation-fine-tuned-callhome-jpn", "results": []}]} | NoahDrisort/speaker-segmentation-fine-tuned-callhome-jpn | null | [
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"base_model:pyannote/segmentation-3.0",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T12:45:59+00:00 | [] | [] | TAGS
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| speaker-segmentation-fine-tuned-callhome-jpn
============================================
This model is a fine-tuned version of pyannote/segmentation-3.0 on the diarizers-community/callhome jpn dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4828
* Der: 0.1446
* False Alarm: 0.0404
* Mis... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: cosine\n* num\\_epochs: 5.0",
"### Trai... | [
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text-generation | transformers |
# Storm-7B
- **Developed by**: [Jie Liu](https://jieliu.site/) \\(^{*1,2}\\), [Zhanhui Zhou](https://scholar.google.com/citations?user=SbACfYQAAAAJ&hl=zh-CN) \\(^{*2}\\), [Chao Yang](https://scholar.google.com/citations?user=5KRbHPMAAAAJ&hl=zh-CN) \\(^{2}\\), [Han-Sen Zhong](https://scholar.google.com.hk/citations?use... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["storm", "mistral", "openchat", "RLAIF", "reward model"]} | jieliu/Storm-7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"storm",
"openchat",
"RLAIF",
"reward model",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T12:46:29+00:00 | [] | [] | TAGS
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| Storm-7B
========
* Developed by: Jie Liu \(^{\*1,2}\), Zhanhui Zhou \(^{\*2}\), Chao Yang \(^{2}\), Han-Sen Zhong \(^{2}\), Wanli Ouyang \(^{1,2}\).
* \(^{1}\)MMLab, The Chinese University of Hong Kong \(^{2}\)Shanghai AI Laboratory
Introduction
------------
We released Storm-7B, the first open-source language... | [] | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama-3-8b-local
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-h... | {"license": "llama2", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama-3-8b-local", "results": []}]} | Rafaelrosendo1/llama-3-8b-local | null | [
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-hf",
"license:llama2",
"region:us"
] | null | 2024-04-25T12:48:14+00:00 | [] | [] | TAGS
#safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-hf #license-llama2 #region-us
| llama-3-8b-local
================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4659
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
Mo... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 4\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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question-answering | 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. -->
# dsfdsf2/distilbert-base-uncased-finetuned-squad
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "dsfdsf2/distilbert-base-uncased-finetuned-squad", "results": []}]} | dsfdsf2/distilbert-base-uncased-finetuned-squad | null | [
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"generated_from_keras_callback",
"base_model:distilbert-base-uncased",
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"endpoints_compatible",
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] | null | 2024-04-25T12:48:32+00:00 | [] | [] | TAGS
#transformers #tf #tensorboard #distilbert #question-answering #generated_from_keras_callback #base_model-distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
| dsfdsf2/distilbert-base-uncased-finetuned-squad
===============================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.9640
* Train End Logits Accuracy: 0.7317
* Train Start Logits ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'Adam', 'weight\\_decay': None, 'clipnorm': None, 'global\\_clipnorm': None, 'clipvalue': None, 'use\\_ema': False, 'ema\\_momentum': 0.99, 'ema\\_overwrite\\_frequency': None, 'jit\\_compile': Tru... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | i-pj/ppo-SnowballTarget | null | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SnowballTarget",
"region:us"
] | null | 2024-04-25T12:49:07+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
"# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | rwr20/dqn-SpaceInvadersNoFrameskip-v4_rwr20_2 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-25T12:49:24+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_ablation_5iters_bs256_useresponse_iter_4
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_5iters_bs256_useres... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_5iters_bs256_useresponse_dataset"], "base_model": "ZhangShenao/0.0_ablation_5iters_bs256_useresponse_iter_3", "model-index": [{"name": "0.0_ablation_5iters_bs256_us... | ZhangShenao/0.0_ablation_5iters_bs256_useresponse_iter_4 | null | [
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"license:mit"... | null | 2024-04-25T12:49:51+00:00 | [] | [] | TAGS
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# 0.0_ablation_5iters_bs256_useresponse_iter_4
This model is a fine-tuned version of ZhangShenao/0.0_ablation_5iters_bs256_useresponse_iter_3 on the ZhangShenao/0.0_ablation_5iters_bs256_useresponse_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information nee... | [
"# 0.0_ablation_5iters_bs256_useresponse_iter_4\n\nThis model is a fine-tuned version of ZhangShenao/0.0_ablation_5iters_bs256_useresponse_iter_3 on the ZhangShenao/0.0_ablation_5iters_bs256_useresponse_dataset dataset.",
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Boya1_RMSProp_1-e5_10Epoch_swin-base-window7-224-in22k_fold5
This model is a fine-tuned version of [microsoft/swin-base-patch4-w... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-base-patch4-window7-224-in22k", "model-index": [{"name": "Boya1_RMSProp_1-e5_10Epoch_swin-base-window7-224-in22k_fold5", "results": [{"task": {"type": "image-classification",... | onizukal/Boya1_RMSProp_1-e5_10Epoch_swin-base-window7-224-in22k_fold5 | null | [
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"license:apache-2.0",
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"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T12:49:59+00:00 | [] | [] | TAGS
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| Boya1\_RMSProp\_1-e5\_10Epoch\_swin-base-window7-224-in22k\_fold5
=================================================================
This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224-in22k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1691
*... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio... | [
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text-to-image | diffusers |
# API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "realistic-vision-v6.0-b1-inpaint... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/realistic-vision-v6.0-b1-inpaint | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-25T12:51:24+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "realistic-vision-v6.0-b1-inpaint"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model li... | [
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"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"realistic-vision-v6.0-b1-inpaint\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Gene... | [
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text-generation | transformers |
# Rick from Rick and Morty Chatbot - DialoGPT Medium Model | {"tags": ["conversational"]} | Kae-X/DialoGPT-medium-Rick-from-RickAndMorty | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T12:52:56+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
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] |
reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | rwr20/dqn-SpaceInvadersNoFrameskip-v4_rwr20_3 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
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] | null | 2024-04-25T12:54:03+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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automatic-speech-recognition | transformers |
# 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": []} | Mithilss/whisper-large-v3-chinese-finetune-custom-dataset | null | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #whisper #automatic-speech-recognition #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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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | alramil/simpsons | null | [
"fastai",
"region:us"
] | null | 2024-04-25T12:55:14+00:00 | [] | [] | TAGS
#fastai #region-us
|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
2. Create a demo in Gradio or Streamlit using Spaces (documentation here).
3. Join the fastai community on the ... | [
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"TAGS\n#fastai #region-us \n",
"# Amazing!\n\n Congratulations on hosting your fastai model on the Hugging Face Hub!",
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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. -->
# finetunedemotionmodel
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-unc... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "model-index": [{"name": "finetunedemotionmodel", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "emotion", "type": "emotion", "config": "split"... | Rishabh3108/finetunedemotionmodel | null | [
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"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T12:56:54+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #distilbert #text-classification #generated_from_trainer #dataset-emotion #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| finetunedemotionmodel
=====================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2228
* Accuracy: 0.926
* F1: 0.9260
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/4-alokk/llama-3-8b-English-to-Hinglish
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they ... | {"language": ["en"], "library_name": "transformers", "tags": ["unsloth"], "base_model": "4-alokk/llama-3-8b-English-to-Hinglish", "quantized_by": "mradermacher"} | mradermacher/llama-3-8b-English-to-Hinglish-GGUF | null | [
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"en",
"base_model:4-alokk/llama-3-8b-English-to-Hinglish",
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] | null | 2024-04-25T12:57:41+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #unsloth #en #base_model-4-alokk/llama-3-8b-English-to-Hinglish #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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token-classification | transformers |
<p align="center">
<br>
<img src="http://www.ixa.eus/sites/default/files/anitdote.png" style="width: 45%;">
<be>
# mBERT for multilingual Argument Detection in the Medical Domain
This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) fo... | {"language": ["en", "es", "fr", "it"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["HiTZ/multilingual-abstrct"], "metrics": ["f1"], "base_model": "bert-base-multilingual-cased", "pipeline_tag": "token-classification", "widget": [{"text": "The dysuria resolved faster in patients implanted with ... | HiTZ/mbert-argmining-abstrct-multilingual | null | [
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"bert",
"token-classification",
"en",
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"fr",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T12:57:43+00:00 | [] | [
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"fr",
"it"
] | TAGS
#transformers #safetensors #bert #token-classification #en #es #fr #it #dataset-HiTZ/multilingual-abstrct #base_model-bert-base-multilingual-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
<p align="center">
<br>
<img src="URL style="width: 45%;">
<be>
# mBERT for multilingual Argument Detection in the Medical Domain
This model is a fine-tuned version of bert-base-multilingual-cased for the argument component
detection task on AbstRCT data in English, Spanish, French and Italian (URL
... | [
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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": "openlm-research/open_llama_3b_v2"} | yiyic/llama3-lora-clf-3 | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:openlm-research/open_llama_3b_v2",
"region:us"
] | null | 2024-04-25T12:58:39+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-openlm-research/open_llama_3b_v2 #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:
- Paper [optional]:
- Demo [optional]:
#... | [
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text-to-image | diffusers |
# API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "realistic-vision-v6.0-b1-inpaint... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/realistic-vision-v6.0-b1-inpaint-n | null | [
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|
# API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "realistic-vision-v6.0-b1-inpaint-n"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model ... | [
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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/Meta-Llama-3-8B"} | yiyic/llama3-lora-clf-1 | null | [
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|
# 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:
- Paper [optional]:
- Demo [optional]:
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | Hitomiblood/CnnLearner_resnet34_chestXrayGPU | null | [
"fastai",
"region:us"
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#fastai #region-us
|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
2. Create a demo in Gradio or Streamlit using Spaces (documentation here).
3. Join the fastai community on the ... | [
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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": []} | Audino/my-awesome-modelv4 | 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]:
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null | null |
# hus960/Raiden-16x3.43B-Q4_K_M-GGUF
This model was converted to GGUF format from [`Kquant03/Raiden-16x3.43B`](https://huggingface.co/Kquant03/Raiden-16x3.43B) 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://hugging... | {"language": ["en"], "license": "apache-2.0", "tags": ["merge", "moe", "llama-cpp", "gguf-my-repo"]} | hus960/Raiden-16x3.43B-Q4_K_M-GGUF | null | [
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|
# hus960/Raiden-16x3.43B-Q4_K_M-GGUF
This model was converted to GGUF format from 'Kquant03/Raiden-16x3.43B' 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:
Not... | [
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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": []} | Sayan01/CKA-T5-CoT-m2-T1 | 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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- Shared by [optional]:
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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": []} | piegarroni/phi-2-csv-conversion-cense-v6 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- 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. -->
# codet5p-770m-running-test
This model is a fine-tuned version of [Salesforce/codet5p-770m](https://huggingface.co/Salesforce/code... | {"license": "bsd-3-clause", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "Salesforce/codet5p-770m", "model-index": [{"name": "codet5p-770m-running-test", "results": []}]} | dtruong46me/codet5p-770m-running-test | null | [
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"license:bsd-3-clause",
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-Salesforce/codet5p-770m #license-bsd-3-clause #region-us
|
# codet5p-770m-running-test
This model is a fine-tuned version of Salesforce/codet5p-770m 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 hyperp... | [
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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. -->
# zephyr-7b-dpo-full
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignmen... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "alignment-handbook/zephyr-7b-sft-full", "model-index": [{"name": "zephyr-7b-dpo-full", "results": []}]} | Beanpow/zephyr-7b-dpo-full | null | [
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"license:apache-2.0",
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==================
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3377
* Rewards/chosen: -14.5626
* Rewards/rejected: -18.1281
* Rewards/accuracie... | [
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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-hf-platypus-lamini-vxxiii-chat-real_8bit
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://hu... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-7b-hf-platypus-lamini-vxxiii-chat-real_8bit", "results": []}]} | NassimB/mistral-7b-hf-platypus-lamini-vxxiii-chat-real_8bit | null | [
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# mistral-7b-hf-platypus-lamini-vxxiii-chat-real_8bit
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training ... | [
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null | transformers |
# LP-MusicCaps-HF
This is the LP-MusicCaps model but loadable by the hf library directly
# Original Model Card
- **Repository:** [LP-MusicCaps repository](https://github.com/seungheondoh/lp-music-caps)
- **Paper:** [ArXiv](https://arxiv.org/abs/2307.16372)
# :sound: LP-MusicCaps: LLM-Based Pseudo Music Captioning
... | {"language": ["en"], "license": "mit", "tags": ["music", "music-captioning"], "datasets": ["seungheondoh/LP-MusicCaps-MSD", "seungheondoh/LP-MusicCaps-MC"], "metrics": ["bleu", "bertscore"]} | Ostixe360/lp-music-caps | null | [
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|
# LP-MusicCaps-HF
This is the LP-MusicCaps model but loadable by the hf library directly
# Original Model Card
- Repository: LP-MusicCaps repository
- Paper: ArXiv
# :sound: LP-MusicCaps: LLM-Based Pseudo Music Captioning
![Demo Video](URL
This is a implementation of LP-MusicCaps: LLM-Based Pseudo Music Captioni... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | mbartholet/ppo-SnowballTarget | null | [
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#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
"# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *... | [
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text-to-image | diffusers |
# realisticVisionV60B1_v51VAE API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "realisti... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/realisticvisionv60b1v51va | null | [
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"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
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#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# realisticVisionV60B1_v51VAE API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "realisticvisionv60b1v51va"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Gener... | [
"# realisticVisionV60B1_v51VAE API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"realisticvisionv60b1v51va\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry ... | [
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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-hf"} | cgihlstorf/NEW_finetuned_llama27b32_1_0.0003_alternate_RANDOM_100_pct | null | [
"peft",
"arxiv:1910.09700",
"base_model:meta-llama/Llama-2-7b-hf",
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|
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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/mattshumer-Llama-3-8B-16K-AWQ-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
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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... | [
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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": []} | kangXn/enmr-sb-mde | 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 |
# 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": []} | Peto1/gpt-finetuned-text-generation | null | [
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token-classification | spacy | | Feature | Description |
| --- | --- |
| **Name** | `de_extr_summ` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.7.2,<3.8.0` |
| **Default Pipeline** | `transformer`, `ner` |
| **Components** | `transformer`, `ner` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | n/a |
| **License** | n/a |... | {"language": ["de"], "tags": ["spacy", "token-classification"]} | MSLars/de_extr_summ | null | [
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### Accuracy
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null | null | Some folks are claiming there's something funky going on with GGUF quanting for Llama 3 models. I don't disagree.
Some of those people are speculating that it has something to do with converting the raw weights from bf16 to fp16 instead
of converting to fp32 as an intermediate step. I think that's bollocks. There i... | {} | MarsupialAI/Llama3_GGUF_Quant_Testing | null | [
"gguf",
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#gguf #region-us
| Some folks are claiming there's something funky going on with GGUF quanting for Llama 3 models. I don't disagree.
Some of those people are speculating that it has something to do with converting the raw weights from bf16 to fp16 instead
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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": []} | jettjaniak/stories-tokenizer-100 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | elliotthwang/KimLanpure-phi-3-zh | null | [
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#transformers #safetensors #phi3 #text-generation #conversational #custom_code #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# dpo_helpfulhelpful_human_gamma1.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version of... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "dpo_helpfulhelpful_human_gamma1.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06", "results": []}]} | Holarissun/dpo_helpfulhelpful_human_gamma1.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06 | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# dpo_helpfulhelpful_human_gamma1.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data... | [
"# dpo_helpfulhelpful_human_gamma1.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
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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. -->
# zephyr-7b-dpo-full
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignmen... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["vipinkatara/dataset_complete_123"], "base_model": "alignment-handbook/zephyr-7b-sft-full", "model-index": [{"name": "zephyr-7b-dpo-full", "results": []}]} | vipinkatara/zephyr-7b-dpo-full | null | [
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"base_model:alignment-handbook/zephyr-7b-sft-full",
"license:apache-2.0",
"autotrain_compa... | null | 2024-04-25T13:19:05+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #mistral #text-generation #alignment-handbook #trl #dpo #generated_from_trainer #conversational #dataset-vipinkatara/dataset_complete_123 #base_model-alignment-handbook/zephyr-7b-sft-full #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-infere... | zephyr-7b-dpo-full
==================
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the vipinkatara/dataset\_complete\_123 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2232
* Rewards/chosen: -2.1437
* Rewards/rejected: -5.8520
* Rewards/accuracies: 0.9... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-07\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 64\n*... | [
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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. -->
# HSE_PRAVO_complexity_classifier_large10epochs
This model is a fine-tuned version of [ai-forever/ruBert-large](https://huggingfac... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-large", "model-index": [{"name": "HSE_PRAVO_complexity_classifier_large10epochs", "results": []}]} | marcus2000/HSE_PRAVO_complexity_classifier_large10epochs | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:ai-forever/ruBert-large",
"region:us"
] | null | 2024-04-25T13:19:12+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-large #region-us
|
# HSE_PRAVO_complexity_classifier_large10epochs
This model is a fine-tuned version of ai-forever/ruBert-large on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedur... | [
"# HSE_PRAVO_complexity_classifier_large10epochs\n\nThis model is a fine-tuned version of ai-forever/ruBert-large on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed... | [
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"## Model description\n\nMore information needed",
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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. -->
# pegasus-samsum
This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_da... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "pegasus-samsum", "results": []}]} | fibleep/pegasus-samsum | null | [
"transformers",
"pytorch",
"tensorboard",
"pegasus",
"text2text-generation",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T13:19:56+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #pegasus #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
|
# pegasus-samsum
This model is a fine-tuned version of google/pegasus-cnn_dailymail 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 hyperparam... | [
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"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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null | transformers |
# Uploaded model
- **Developed by:** Stanlito
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Stanlito/llam3_lora_model | null | [
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|
# Uploaded model
- Developed by: Stanlito
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | 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. -->
# dpo_helpfulhelpful_human_gamma0.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version of... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "dpo_helpfulhelpful_human_gamma0.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06", "results": []}]} | Holarissun/dpo_helpfulhelpful_human_gamma0.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06 | null | [
"peft",
"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-25T13:26:25+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# dpo_helpfulhelpful_human_gamma0.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data... | [
"# dpo_helpfulhelpful_human_gamma0.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_5iters_bs256_useresponse_iter_4
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_5iters_bs256_useres... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_5iters_bs256_useresponse_iter_3", "model-index": [{"name": "0.001_ablation_5iters_bs256_useresponse_iter_4", "results": []}]} | ShenaoZ/0.001_ablation_5iters_bs256_useresponse_iter_4 | null | [
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"base_model:ShenaoZ/0.001_ablation_5iters_bs256_useresponse_iter_3",
"license:mit",
"autotrain_compatible",
... | null | 2024-04-25T13:27:37+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-updated #dataset-original #base_model-ShenaoZ/0.001_ablation_5iters_bs256_useresponse_iter_3 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #regio... |
# 0.001_ablation_5iters_bs256_useresponse_iter_4
This model is a fine-tuned version of ShenaoZ/0.001_ablation_5iters_bs256_useresponse_iter_3 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation ... | [
"# 0.001_ablation_5iters_bs256_useresponse_iter_4\n\nThis model is a fine-tuned version of ShenaoZ/0.001_ablation_5iters_bs256_useresponse_iter_3 on the updated and the original datasets.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Trai... | [
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text-generation | null |
# hus960/PsychoOrca_32x1.1B_MoE_bf16-Q4_K_M-GGUF
This model was converted to GGUF format from [`Kquant03/PsychoOrca_32x1.1B_MoE_bf16`](https://huggingface.co/Kquant03/PsychoOrca_32x1.1B_MoE_bf16) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Open-Orca/OpenOrca", "SumayyaAli/accu_qa_dataset", "cerebras/SlimPajama-627B", "bigcode/starcoderdata"], "pipeline_tag": "text-generation"} | hus960/PsychoOrca_32x1.1B_MoE_bf16-Q4_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"dataset:Open-Orca/OpenOrca",
"dataset:SumayyaAli/accu_qa_dataset",
"dataset:cerebras/SlimPajama-627B",
"dataset:bigcode/starcoderdata",
"license:apache-2.0",
"region:us"
] | null | 2024-04-25T13:28:41+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #text-generation #en #dataset-Open-Orca/OpenOrca #dataset-SumayyaAli/accu_qa_dataset #dataset-cerebras/SlimPajama-627B #dataset-bigcode/starcoderdata #license-apache-2.0 #region-us
|
# hus960/PsychoOrca_32x1.1B_MoE_bf16-Q4_K_M-GGUF
This model was converted to GGUF format from 'Kquant03/PsychoOrca_32x1.1B_MoE_bf16' 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.... | [
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"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL se... | [
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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/mattshumer-Llama-3-8B-16K-bnb-4bit-smashed | null | [
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#transformers #safetensors #llama #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;">
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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... | [
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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": "mistralai/Mistral-7B-Instruct-v0.2"} | recogna-nlp/mistralbode_7b_lora_ultraalpaca | null | [
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#peft #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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- Finetuned from model [optional]:
### Model Sources [optional]
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null | mlx |
# fililai/Phi-3-mini-4k-instruct-ft
This model was converted to MLX format from [`fililai/Phi-3-mini-4k-instruct-ft`]() using mlx-lm version **0.11.0**.
Refer to the [original model card](https://huggingface.co/fililai/Phi-3-mini-4k-instruct-ft) for more details on the model.
## Use with mlx
```bash
pip install mlx-l... | {"license": "mit", "tags": ["mlx", "mlx"]} | fililai/Phi-3-mini-4k-instruct-ft | null | [
"mlx",
"safetensors",
"phi3",
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"license:mit",
"region:us"
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#mlx #safetensors #phi3 #custom_code #license-mit #region-us
|
# fililai/Phi-3-mini-4k-instruct-ft
This model was converted to MLX format from ['fililai/Phi-3-mini-4k-instruct-ft']() using mlx-lm version 0.11.0.
Refer to the original model card for more details on the model.
## Use with mlx
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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. -->
# robust_llm_pythia-410m_mz-130_PasswordMatch_n-its-10-seed-4
This model is a fine-tuned version of [EleutherAI/pythia-410m](https... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "robust_llm_pythia-410m_mz-130_PasswordMatch_n-its-10-seed-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-410m_mz-130_PasswordMatch_n-its-10-seed-4 | null | [
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|
# robust_llm_pythia-410m_mz-130_PasswordMatch_n-its-10-seed-4
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trai... | [
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text-generation | transformers |
# jamba-H1024_L12-v0.07-fineweb-1M-med
<a href="https://colab.research.google.com/gist/pszemraj/a7aa793feb394580a962641ed92310bb/test-jamba-h1024-v0-07.ipynb">
<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
</a>
> mid-training checkpoint
- arch: [jamba](https://huggingfa... | {"language": ["en"], "license": "apache-2.0", "tags": ["jamba", "claude3 tokenizer"], "datasets": ["BEE-spoke-data/fineweb-1M_en-med"]} | pszemraj/jamba-H1024_L12-v0.07-fineweb-1M-med | null | [
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| jamba-H1024\_L12-v0.07-fineweb-1M-med
=====================================
<a href="URL
<img src="URL alt="Open In Colab"/>
>
> mid-training checkpoint
>
>
>
* arch: jamba (see model card for kernels/use)
* tokenizer: claude3 as HF GPT2
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numbers
-------
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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. -->
# robust_llm_pythia-410m_mz-130_IMDB_n-its-10-seed-0
This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "robust_llm_pythia-410m_mz-130_IMDB_n-its-10-seed-0", "results": []}]} | AlignmentResearch/robust_llm_pythia-410m_mz-130_IMDB_n-its-10-seed-0 | null | [
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|
# robust_llm_pythia-410m_mz-130_IMDB_n-its-10-seed-0
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
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null | peft | This was made using the Llama 3 Instruct prompt formatting so that it should be easier to be merged with other models using that format.
LoRA trained in 4-bit with 8k context using [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B/) as the base model for 1 epoch.
Dataset used is [a modifi... | {"language": ["en"], "license": "apache-2.0", "library_name": "peft", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "not-for-all-audiences"], "datasets": ["grimulkan/LimaRP-augmented", "mpasila/LimaRP-augmented-8k-context"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | mpasila/Llama-3-LimaRP-Instruct-LoRA-8B | null | [
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| This was made using the Llama 3 Instruct prompt formatting so that it should be easier to be merged with other models using that format.
LoRA trained in 4-bit with 8k context using meta-llama/Meta-Llama-3-8B as the base model for 1 epoch.
Dataset used is a modified version of grimulkan/LimaRP-augmented.
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token-classification | spacy |
# Pretrained spaCy model of Bulgarian language
Full paper: [An Improved Bulgarian Natural Language Processing Pipeline](https://annual.uni-sofia.bg/index.php/fmi/article/view/572/559).
Presentation [here](https://docs.google.com/presentation/d/1igrxFjlWuPxZuU9mDI1_H23iYA7Rq6D4/edit?usp=sharing&ouid=10816320990161989... | {"language": ["bg"], "license": "apache-2.0", "library_name": "spacy", "metrics": ["accuracy", "f1"], "pipeline_tag": "token-classification"} | melaniab/spacy-pipeline-bg | null | [
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# Pretrained spaCy model of Bulgarian language
Full paper: An Improved Bulgarian Natural Language Processing Pipeline.
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For information how to use the model, refer to the GitHub repository of the project.
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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": []} | kangXn/enmr-tp1-mde | 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 | This was made using the Llama 3 Instruct prompt formatting so that it should be easier to be merged with other models using that format.
This is a merge of [mpasila/Llama-3-LimaRP-Instruct-LoRA-8B](https://huggingface.co/mpasila/Llama-3-LimaRP-Instruct-LoRA-8B).
LoRA trained in 4-bit with 8k context using [meta-llama... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft", "not-for-all-audiences"], "datasets": ["grimulkan/LimaRP-augmented", "mpasila/LimaRP-augmented-8k-context"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | mpasila/Llama-3-LimaRP-Instruct-8B | null | [
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... | null | 2024-04-25T13:38:08+00:00 | [] | [
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This is a merge of mpasila/Llama-3-LimaRP-Instruct-LoRA-8B.
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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. -->
# robust_llm_pythia-410m_mz-130_IMDB_n-its-10-seed-2
This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "robust_llm_pythia-410m_mz-130_IMDB_n-its-10-seed-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-410m_mz-130_IMDB_n-its-10-seed-2 | null | [
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|
# robust_llm_pythia-410m_mz-130_IMDB_n-its-10-seed-2
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
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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. -->
# dpo_helpfulhelpful_human_gamma100.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version ... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "dpo_helpfulhelpful_human_gamma100.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06", "results": []}]} | Holarissun/dpo_helpfulhelpful_human_gamma100.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06 | null | [
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# dpo_helpfulhelpful_human_gamma100.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation da... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/kuotient/Llama-3-Seagull-Evo-8B-v1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do n... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "kuotient/Llama-3-Seagull-Evo-8B-v1", "license_name": "llama3", "quantized_by": "mradermacher"} | mradermacher/Llama-3-Seagull-Evo-8B-v1-GGUF | null | [
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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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translation | transformers |
# translation_en_ru
Эта модель дообучена на [Helsinki-NLP/opus-mt-en-ru](https://huggingface.co/Helsinki-NLP/opus-mt-en-ru) с помощью
датасета tico19, который содержит терминологию связанную с COVID-19. Модель может использоваться для перевода медицинских
текстов
## Результаты на тестовых данных:
- Loss: 1.1217
... | {"language": ["en", "ru"], "license": "apache-2.0", "tags": ["translation", "generated_from_trainer"], "datasets": ["glazzova/tico19_en_ru"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-en-ru", "pipeline_tag": "translation", "model-index": [{"name": "ml_translation_model1", "results": []}]} | glazzova/translation_en_ru | null | [
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|
# translation_en_ru
Эта модель дообучена на Helsinki-NLP/opus-mt-en-ru с помощью
датасета tico19, который содержит терминологию связанную с COVID-19. Модель может использоваться для перевода медицинских
текстов
## Результаты на тестовых данных:
- Loss: 1.1217
- Bleu: 30.84
### Запуск модели
### Гиперпараметры... | [
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zero-shot-image-classification | transformers |
# AViLaMa : African Vision-Languages Aligment Pre-Training Model.
Learning Visual Concepts Directly From African Languages Supervision. [Paper is coming]()
## Model Details
AViLaMa is the large open-source text-vision alignment pre-training model in African languages. It brings a way to learn visual concepts directl... | {"language": ["multilingual", "en", "sw", "ha", "yo", "ig", "zu", "sn", "ar", "am", "fr", "pt"], "license": "apache-2.0", "library_name": "transformers", "tags": ["zero-shot-image-classification", "image generation", "visual qa", "text-image embedding", "image-text embedding", "pytorch", "sartify", "visual conversional... | sartifyllc/AViLaMa | null | [
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# AViLaMa : African Vision-Languages Aligment Pre-Training Model.
Learning Visual Concepts Directly From African Languages Supervision. [Paper is coming]()
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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## Model Details
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null | transformers |
# Uploaded model
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- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | manjunathshiva/kannada_llama3_8b_lora_model | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# dpo_helpfulhelpful_human_gamma30.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version o... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "dpo_helpfulhelpful_human_gamma30.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06", "results": []}]} | Holarissun/dpo_helpfulhelpful_human_gamma30.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06 | null | [
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|
# dpo_helpfulhelpful_human_gamma30.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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image-classification | timm | # Model card for caformer_s18.st_safebooru_1k
## Model Details
- **metrics:**
|Precision|Recall|F1-score|
|-|-|-|
|0.7941601067736772|0.5087503998700491|0.5981664346700365|
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#timm #pytorch #safetensors #image-classification #license-apache-2.0 #region-us
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | i-pj/MLAgent-Pyramid | null | [
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# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
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null | null | Quantized version of https://huggingface.co/Snowflake/snowflake-arctic-instruct
If you downloaded older quants (with no folders) you have to redownload.
There is no support for this in mainline llama.cpp yet. You have to use snowflake-arctic branch: https://github.com/fairydreaming/llama.cpp/tree/snowflake-arctic
| {"license": "apache-2.0"} | sszymczyk/snowflake-arctic-instruct-GGUF | null | [
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#gguf #license-apache-2.0 #region-us
| Quantized version of URL
If you downloaded older quants (with no folders) you have to redownload.
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automatic-speech-recognition | 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": []} | William-Ndoni-254/wuzu_asr | null | [
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# Model Card for Model ID
## Model Details
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null | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# dpo_helpfulhelpful_human_gamma5.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version of... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "dpo_helpfulhelpful_human_gamma5.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06", "results": []}]} | Holarissun/dpo_helpfulhelpful_human_gamma5.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06 | null | [
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# dpo_helpfulhelpful_human_gamma5.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Boya1_RMSProp_1-e5_20Epoch_swin-base-window7-224-in22k_fold1
This model is a fine-tuned version of [microsoft/swin-base-patch4-w... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-base-patch4-window7-224-in22k", "model-index": [{"name": "Boya1_RMSProp_1-e5_20Epoch_swin-base-window7-224-in22k_fold1", "results": [{"task": {"type": "image-classification",... | onizukal/Boya1_RMSProp_1-e5_20Epoch_swin-base-window7-224-in22k_fold1 | null | [
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| Boya1\_RMSProp\_1-e5\_20Epoch\_swin-base-window7-224-in22k\_fold1
=================================================================
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | peft |
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Electrcical-IMAGE-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "Electrcical-IMAGE-finetuned-eurosat", "results": [{"task": {"type": "image-classification", "name": "Image Classification"... | Safawat/Electrcical-IMAGE-finetuned-eurosat | null | [
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| Electrcical-IMAGE-finetuned-eurosat
===================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3583
* Accuracy: 0.8960
Model description
-----------------
More inf... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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": []} | Sohaibsoussi/sementic-classification-of-movie-reviews | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- License... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_4iters_bs256_nodpo_useresponse_iter_3
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_4iters_bs256_... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_4iters_bs256_nodpo_useresponse_iter_2", "model-index": [{"name": "0.001_ablation_4iters_bs256_nodpo_useresponse_iter_3", "result... | ShenaoZ/0.001_ablation_4iters_bs256_nodpo_useresponse_iter_3 | null | [
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"autotrain_compatibl... | null | 2024-04-25T13:59:31+00:00 | [] | [] | TAGS
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# 0.001_ablation_4iters_bs256_nodpo_useresponse_iter_3
This model is a fine-tuned version of ShenaoZ/0.001_ablation_4iters_bs256_nodpo_useresponse_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | MY11111111/ppo-PyramidsRND | null | [
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"onnx",
"Pyramids",
"deep-reinforcement-learning",
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#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where ... | [
"# ppo Agent playing Pyramids\n This is a trained model of a ppo agent playing Pyramids\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutori... | [
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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": "openlm-research/open_llama_3b_v2"} | yiyic/llama3b-text-prop-lora-clf-epoch-0 | null | [
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"1910.09700"
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#peft #safetensors #arxiv-1910.09700 #base_model-openlm-research/open_llama_3b_v2 #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 | 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": []} | Lakoc/ebranchformer_6_128h_2d_bestrq_lessbooks | 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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- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License... | [
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text-generation | transformers | # Llama-3-MetaRP-V2-8B
This might have issues with prompt template due to Unsloth messing up the prompt format for Llama 3.. (it added gpt and user that did not exist in the original Llama 3 Instruct format)
It appears to have destroyed some of the prompt following abilities. So I wonder if there's a better way to me... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Undi95/Meta-Llama-3-8B-Instruct-hf", "mpasila/Llama-3-LimaRP-Instruct-8B"]} | mpasila/Llama-3-MetaRP-V2-8B | null | [
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| # Llama-3-MetaRP-V2-8B
This might have issues with prompt template due to Unsloth messing up the prompt format for Llama 3.. (it added gpt and user that did not exist in the original Llama 3 Instruct format)
It appears to have destroyed some of the prompt following abilities. So I wonder if there's a better way to me... | [
"# Llama-3-MetaRP-V2-8B\n\nThis might have issues with prompt template due to Unsloth messing up the prompt format for Llama 3.. (it added gpt and user that did not exist in the original Llama 3 Instruct format)\n\nIt appears to have destroyed some of the prompt following abilities. So I wonder if there's a better ... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# speaker-segmentation-fine-tuned-callhome-eng
This model is a fine-tuned version of [pyannote/segmentation-3.0](https://huggingfa... | {"language": ["eng"], "license": "mit", "tags": ["speaker-diarization", "speaker-segmentation", "generated_from_trainer"], "datasets": ["diarizers-community/callhome"], "base_model": "pyannote/segmentation-3.0", "model-index": [{"name": "speaker-segmentation-fine-tuned-callhome-eng", "results": []}]} | anuragrawal/speaker-segmentation-fine-tuned-callhome-eng | null | [
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"tensorboard",
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"eng",
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"base_model:pyannote/segmentation-3.0",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T14:01:27+00:00 | [] | [
"eng"
] | TAGS
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| speaker-segmentation-fine-tuned-callhome-eng
============================================
This model is a fine-tuned version of pyannote/segmentation-3.0 on the diarizers-community/callhome dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4692
* Der: 0.1840
* False Alarm: 0.0616
* Missed ... | [
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null | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | gtsru/sn17-pol-013 | null | [
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"1910.09700"
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#diffusers #safetensors #arxiv-1910.09700 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | DeMuenu/ppo-LunarLander-v2 | null | [
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"model-index",
"region:us"
] | null | 2024-04-25T14:01:45+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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"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
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"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
null | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | gtsru/sn17-dek-013 | null | [
"diffusers",
"safetensors",
"arxiv:1910.09700",
"region:us"
] | null | 2024-04-25T14:03:49+00:00 | [
"1910.09700"
] | [] | TAGS
#diffusers #safetensors #arxiv-1910.09700 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
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"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [opti... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | MY11111111/ppo-Pyramids | null | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | null | 2024-04-25T14:04:41+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where ... | [
"# ppo Agent playing Pyramids\n This is a trained model of a ppo agent playing Pyramids\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutori... | [
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"TAGS\n#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us \n# ppo Agent playing Pyramids\n This is a trained model of a ppo agent playing Pyramids\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\... |
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