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# OpenELM β Core ML
This repository contains a Core ML conversion of [apple/OpenELM-270M-Instruct](https://hf.co/apple/OpenELM-270M-Instruct) with the following characteristics:
- Sequence length: 128, fixed.
- Precision: float32.
Please, check the [original model card](https://hf.co/apple/OpenELM-270M-Inst... | {"license": "other", "license_name": "apple-sample-code-license", "license_link": "LICENSE"} | corenet-community/coreml-OpenELM-270M-Instruct | null | [
"coreml",
"license:other",
"region:us"
] | null | 2024-04-30T09:50:19+00:00 | [] | [] | TAGS
#coreml #license-other #region-us
|
# OpenELM β Core ML
This repository contains a Core ML conversion of apple/OpenELM-270M-Instruct with the following characteristics:
- Sequence length: 128, fixed.
- Precision: float32.
Please, check the original model card for additional details on the model.
| [
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object-detection | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "apache-2.0", "tags": ["object-detection", "vision", "generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "facebook-detr-resnet-50-finetuned-10k-cppe5-with-augs", "results": []}]} | qubvel-hf/facebook-detr-resnet-50-finetuned-10k-cppe5-with-augs | null | [
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| <img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
facebook-detr-resnet-50-finetuned-10k-cppe5-with-augs
=====================================================
This model is a fine-tuned version of facebook/detr-resnet-50 on the cppe-5 dataset.
It achieves the following results on the evalua... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 1337\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 100.0\n* mixed\\_... | [
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null | null |
# OpenELM β Core ML
This repository contains a Core ML conversion of [apple/OpenELM-3B](https://hf.co/apple/OpenELM-3B) with the following characteristics:
- Sequence length: 128, fixed.
- Precision: float32.
Please, check the [original model card](https://hf.co/apple/OpenELM-3B) for additional details on t... | {"license": "other", "license_name": "apple-sample-code-license", "license_link": "LICENSE"} | corenet-community/coreml-OpenELM-3B | null | [
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#coreml #license-other #region-us
|
# OpenELM β Core ML
This repository contains a Core ML conversion of apple/OpenELM-3B with the following characteristics:
- Sequence length: 128, fixed.
- Precision: float32.
Please, check the original model card for additional details on the model.
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] |
text-to-audio | 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. -->
# fil_b32_le5_s4000
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "fil_b32_le5_s4000", "results": []}]} | mikhail-panzo/fil_b32_le5_s4000 | null | [
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| fil\_b32\_le5\_s4000
====================
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4102
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
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null | null |
# OpenELM β Core ML
This repository contains a Core ML conversion of [apple/OpenELM-3B-Instruct](https://hf.co/apple/OpenELM-3B-Instruct) with the following characteristics:
- Sequence length: 128, fixed.
- Precision: float32.
Please, check the [original model card](https://hf.co/apple/OpenELM-3B-Instruct) ... | {"license": "other", "license_name": "apple-sample-code-license", "license_link": "LICENSE"} | corenet-community/coreml-OpenELM-3B-Instruct | null | [
"coreml",
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#coreml #license-other #region-us
|
# OpenELM β Core ML
This repository contains a Core ML conversion of apple/OpenELM-3B-Instruct with the following characteristics:
- Sequence length: 128, fixed.
- Precision: float32.
Please, check the original model card for additional details on the model.
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text-generation | transformers |
# Uploaded model
- **Developed by:** MatrixIA
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Phi-3-mini-4k-instruct-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/Phi-3-mini-4k-instruct-bnb-4bit"} | MatrixIA/Phi-3-mini-4k-instruct-text-to-sql | null | [
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... | null | 2024-04-30T09:53:48+00:00 | [] | [
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|
# Uploaded model
- Developed by: MatrixIA
- License: apache-2.0
- Finetuned from model : unsloth/Phi-3-mini-4k-instruct-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Juniplayground/juniper-mxbai-embed-large-v1-more-data-3l | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
# OpenELM β Core ML
This repository contains a Core ML conversion of [apple/OpenELM-450M](https://hf.co/apple/OpenELM-450M) with the following characteristics:
- Sequence length: 128, fixed.
- Precision: float32.
Please, check the [original model card](https://hf.co/apple/OpenELM-450M) for additional detail... | {"license": "other", "license_name": "apple-sample-code-license", "license_link": "LICENSE"} | corenet-community/coreml-OpenELM-450M | null | [
"coreml",
"license:other",
"region:us"
] | null | 2024-04-30T09:55:18+00:00 | [] | [] | TAGS
#coreml #license-other #region-us
|
# OpenELM β Core ML
This repository contains a Core ML conversion of apple/OpenELM-450M with the following characteristics:
- Sequence length: 128, fixed.
- Precision: float32.
Please, check the original model card for additional details on the model.
| [
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] |
null | null |
# OpenELM β Core ML
This repository contains a Core ML conversion of [apple/OpenELM-450M-Instruct](https://hf.co/apple/OpenELM-450M-Instruct) with the following characteristics:
- Sequence length: 128, fixed.
- Precision: float32.
Please, check the [original model card](https://hf.co/apple/OpenELM-450M-Inst... | {"license": "other", "license_name": "apple-sample-code-license", "license_link": "LICENSE"} | corenet-community/coreml-OpenELM-450M-Instruct | null | [
"coreml",
"license:other",
"region:us"
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#coreml #license-other #region-us
|
# OpenELM β Core ML
This repository contains a Core ML conversion of apple/OpenELM-450M-Instruct with the following characteristics:
- Sequence length: 128, fixed.
- Precision: float32.
Please, check the original model card for additional details on the model.
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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. -->
# O0430HMA7
This model is a fine-tuned version of [allenai/OLMo-1B](https://huggingface.co/allenai/OLMo-1B) on an unknown dataset.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "allenai/OLMo-1B", "model-index": [{"name": "O0430HMA7", "results": []}]} | Litzy619/O0430HMA7 | null | [
"safetensors",
"generated_from_trainer",
"base_model:allenai/OLMo-1B",
"license:apache-2.0",
"region:us"
] | null | 2024-04-30T09:55:50+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-allenai/OLMo-1B #license-apache-2.0 #region-us
| O0430HMA7
=========
This model is a fine-tuned version of allenai/OLMo-1B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0202
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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text-generation | null |
# reach-vb/Meta-Llama-3-8B-Q4_0-GGUF
This model was converted to GGUF format from [`meta-llama/Meta-Llama-3-8B`](https://huggingface.co/meta-llama/Meta-Llama-3-8B) 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://hug... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Dat... | reach-vb/Meta-Llama-3-8B-Q4_0-GGUF | null | [
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"en",
"license:other",
"region:us"
] | null | 2024-04-30T09:55:52+00:00 | [] | [
"en"
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|
# reach-vb/Meta-Llama-3-8B-Q4_0-GGUF
This model was converted to GGUF format from 'meta-llama/Meta-Llama-3-8B' 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:
N... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-finetuned-ner
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the conll2... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["conll2003"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-ner", "results": []}]} | aljaziz/bert-finetuned-ner | null | [
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| bert-finetuned-ner
==================
This model is a fine-tuned version of bert-base-cased on the conll2003 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0632
* Precision: 0.9382
* Recall: 0.9500
* F1: 0.9441
* Accuracy: 0.9864
Model description
-----------------
More information ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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text-generation | transformers |
# 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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | fmshahata/phi-moe-4exp_ | 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-to-audio | 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. -->
# fil_b64_le4_s4000
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "fil_b64_le4_s4000", "results": []}]} | mikhail-panzo/fil_b64_le4_s4000 | null | [
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| fil\_b64\_le4\_s4000
====================
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4134
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# code-llama-7b-text-to-sql
This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/Cod... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "codellama/CodeLlama-7b-hf", "model-index": [{"name": "code-llama-7b-text-to-sql", "results": []}]} | nnCarlito/code-llama-7b-text-to-sql | null | [
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|
# code-llama-7b-text-to-sql
This model is a fine-tuned version of codellama/CodeLlama-7b-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-chat-hf"} | shivanikerai/Llama-2-7b-chat-hf-adapter-title-ner-and-new-title-suggestion-v1.0 | null | [
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- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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null | transformers |
# Uploaded model
- **Developed by:** arvnoodle
- **License:** apache-2.0
- **Finetuned from model :** unsloth/codegemma-7b-it-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/codegemma-7b-it-bnb-4bit"} | arvnoodle/hcl-codegemma-it-8b_UPDATED-xml-json | null | [
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|
# Uploaded model
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- License: apache-2.0
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<img src="URL width="200"/>
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-de-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de-fr", "results": []}]} | u00890358/xlm-roberta-base-finetuned-panx-de-fr | null | [
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| xlm-roberta-base-finetuned-panx-de-fr
=====================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1655
* F1: 0.8574
Model description
-----------------
More information needed
Intended uses... | [
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null | null | README.md
# Mask R-CNN Drone Detection Model
### Overview
This repository contains the implementation of a Mask R-CNN model trained for detecting drones in images. The model is built using the Matterport Mask R-CNN implementation and trained on a custom drone dataset.
### Model Architecture
The Mask R-CNN architecture... | {"language": ["en"], "license": "mit"} | bilalmashooq/Drone_Detection_MRCNN | null | [
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# Mask R-CNN Drone Detection Model
### Overview
This repository contains the implementation of a Mask R-CNN model trained for detecting drones in images. The model is built using the Matterport Mask R-CNN implementation and trained on a custom drone dataset.
### Model Architecture
The Mask R-CNN architecture consi... | [
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null | null | <!-- 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/starcoder2-3b-GGUF-smashed | null | [
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#gguf #pruna-ai #region-us
|
[](URL target=)
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL
This repo contains GGUF versions of the bigcode/starcoder2-3b model.
--------------------------------------------------------------------
Simply make AI models cheaper, smaller, faster, and greener!
================... | [
"### How to load this model in Python code, using llama-cpp-python\n\nFor full documentation, please see: llama-cpp-python docs.",
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"#### Simple llama-cpp-python example code\n\n```\n\n* Option D - Running with Lang... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0001_withdpo_4iters_bs256_531lr_iter_3
This model is a fine-tuned version of [ShenaoZ/0.0001_withdpo_4iters_bs256_531lr_iter_2... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.0001_withdpo_4iters_bs256_531lr_iter_2", "model-index": [{"name": "0.0001_withdpo_4iters_bs256_531lr_iter_3", "results": []}]} | ShenaoZ/0.0001_withdpo_4iters_bs256_531lr_iter_3 | null | [
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|
# 0.0001_withdpo_4iters_bs256_531lr_iter_3
This model is a fine-tuned version of ShenaoZ/0.0001_withdpo_4iters_bs256_531lr_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More i... | [
"# 0.0001_withdpo_4iters_bs256_531lr_iter_3\n\nThis model is a fine-tuned version of ShenaoZ/0.0001_withdpo_4iters_bs256_531lr_iter_2 on the updated and the original datasets.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
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unconditional-image-generation | diffusers | # θΏδΈͺ樑εη¨δΊηζθ΄θΆεΎεηζ ζ‘δ»ΆεΎεηζζ©ζ£ζ¨‘ε
γ
'''python
from diffusers import DDPMPipeline
γ
pipeline = DDPMPipeline.from_pretrained('jane19940506/sd-class-butterflies-32')
image = pipeline().images[0]
image
| {"tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"], "\u200blicense": "mit"} | jane19940506/sd-class-butterflies-32 | null | [
"diffusers",
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"pytorch",
"unconditional-image-generation",
"diffusion-models-class",
"diffusers:DDPMPipeline",
"region:us"
] | null | 2024-04-30T10:06:45+00:00 | [] | [] | TAGS
#diffusers #safetensors #pytorch #unconditional-image-generation #diffusion-models-class #diffusers-DDPMPipeline #region-us
| # θΏδΈͺ樑εη¨δΊηζθ΄θΆεΎεηζ ζ‘δ»ΆεΎεηζζ©ζ£ζ¨‘ε
γ
'''python
from diffusers import DDPMPipeline
γ
pipeline = DDPMPipeline.from_pretrained('jane19940506/sd-class-butterflies-32')
image = pipeline().images[0]
image
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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. -->
# O0430HMA8
This model is a fine-tuned version of [allenai/OLMo-1B](https://huggingface.co/allenai/OLMo-1B) on an unknown dataset.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "allenai/OLMo-1B", "model-index": [{"name": "O0430HMA8", "results": []}]} | Litzy619/O0430HMA8 | null | [
"safetensors",
"generated_from_trainer",
"base_model:allenai/OLMo-1B",
"license:apache-2.0",
"region:us"
] | null | 2024-04-30T10:08:56+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-allenai/OLMo-1B #license-apache-2.0 #region-us
| O0430HMA8
=========
This model is a fine-tuned version of allenai/OLMo-1B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0097
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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. -->
# zaid-gemma01
This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on the None d... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-2b-it", "model-index": [{"name": "zaid-gemma01", "results": []}]} | Zaidh/zaid-gemma01 | null | [
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:google/gemma-2b-it",
"license:gemma",
"region:us"
] | null | 2024-04-30T10:09:35+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-google/gemma-2b-it #license-gemma #region-us
|
# zaid-gemma01
This model is a fine-tuned version of google/gemma-2b-it 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 hyperparameters
The fol... | [
"# zaid-gemma01\n\nThis model is a fine-tuned version of google/gemma-2b-it on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"### Tra... | [
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null | null |
# MeliodasExperiment27pastiche-7B
MeliodasExperiment27pastiche-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [automerger/Experiment27Pastiche-7B](https://huggingface.co/automerger/Experiment27Pastiche-7B)
## 𧩠Configuration
```yaml
models... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["automerger/Experiment27Pastiche-7B"]} | automerger/MeliodasExperiment27pastiche-7B | null | [
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|
# MeliodasExperiment27pastiche-7B
MeliodasExperiment27pastiche-7B is an automated merge created by Maxime Labonne using the following configuration.
* automerger/Experiment27Pastiche-7B
## Configuration
## Usage
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text-generation | transformers |
| Tasks | Metric |Value | |Stderr|
|------------|--------|-----:|---|-----:|
|hellaswag_it|acc |0.4439|Β± |0.0052|
| |acc_norm|0.5962|Β± |0.0051|
|arc_it |acc |0.1257|Β± |0.0097|
| |acc_norm|0.4414|Β± |0.0145|
| {"language": ["it"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["lmqg/qag_itquad"]} | nonsonpratico/phi3-3.8-128k-italian-v1.5 | null | [
"transformers",
"safetensors",
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"custom_code",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T10:13:08+00:00 | [] | [
"it"
] | TAGS
#transformers #safetensors #phi3 #text-generation #conversational #custom_code #it #dataset-lmqg/qag_itquad #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| [] | [
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] | |
text2text-generation | transformers | hello
| {} | dappyx/QazSynt | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T10:16:42+00:00 | [] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| hello
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null | transformers |
# Uploaded model
- **Developed by:** akshat1311
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | akshat1311/Mistral-DronaHQ-Control | null | [
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"en",
"base_model:unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T10:16:50+00:00 | [] | [
"en"
] | TAGS
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|
# Uploaded model
- Developed by: akshat1311
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
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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"]} | krisha-n/ppo-SnowballTarget1 | null | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SnowballTarget",
"region:us"
] | null | 2024-04-30T10:16:54+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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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. -->
# casual_language_modeling
This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilg... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "distilbert/distilgpt2", "model-index": [{"name": "casual_language_modeling", "results": []}]} | madanagrawal/casual_language_modeling | null | [
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"gpt2",
"text-generation",
"generated_from_trainer",
"dataset:eli5_category",
"base_model:distilbert/distilgpt2",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T10:18:02+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #dataset-eli5_category #base_model-distilbert/distilgpt2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| casual\_language\_modeling
==========================
This model is a fine-tuned version of distilbert/distilgpt2 on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 3.7750
Model description
-----------------
More information needed
Intended uses & limitations
-----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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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. -->
# omarSorour123/sorour_qa_model
This model is a fine-tuned version of [timpal0l/mdeberta-v3-base-squad2](https://huggingface.co/timpal0l... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "timpal0l/mdeberta-v3-base-squad2", "model-index": [{"name": "omarSorour123/sorour_qa_model", "results": []}]} | omarSorour123/sorour_qa_model | null | [
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"generated_from_keras_callback",
"base_model:timpal0l/mdeberta-v3-base-squad2",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T10:19:16+00:00 | [] | [] | TAGS
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| omarSorour123/sorour\_qa\_model
===============================
This model is a fine-tuned version of timpal0l/mdeberta-v3-base-squad2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.5895
* Validation Loss: 1.6491
* Epoch: 4
Model description
-----------------
Mor... | [
"### 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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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. -->
# Llama3_finetued_on_scigen
This model is a fine-tuned version of [unsloth/llama-3-8b-bnb-4bit](https://huggingface.co/unsloth/lla... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "unsloth/llama-3-8b-bnb-4bit", "model-index": [{"name": "Llama3_finetued_on_scigen", "results": []}]} | moetezsa/Llama3_finetued_on_scigen | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:llama2",
"region:us"
] | null | 2024-04-30T10:20:10+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-unsloth/llama-3-8b-bnb-4bit #license-llama2 #region-us
|
# Llama3_finetued_on_scigen
This model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit 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 hy... | [
"# Llama3_finetued_on_scigen\n\nThis model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training ... | [
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"# Llama3_finetued_on_scigen\n\nThis model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit on the None dataset.",
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text-generation | transformers |
This is my attempt at instruction tuning for [Hebrew-Mistral-7B](https://huggingface.co/yam-peleg/Hebrew-Mistral-7B).
The model hallucinates a lot. Please generate 4-5 times for each prompt to find the best generation.
Also, note that this model does not have any moderation mechanisms.
## Usage
Install dependencie... | {"language": ["he", "en"], "license": "apache-2.0"} | ronmasas/Hebrew-Mistral-7B-Instruct-v0.1 | null | [
"transformers",
"safetensors",
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"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T10:20:34+00:00 | [] | [
"he",
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #he #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
This is my attempt at instruction tuning for Hebrew-Mistral-7B.
The model hallucinates a lot. Please generate 4-5 times for each prompt to find the best generation.
Also, note that this model does not have any moderation mechanisms.
## Usage
Install dependencies
| [
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] |
null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# donut-base-aadhaar-200
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/d... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-aadhaar-200", "results": []}]} | jaydip-tss/donut-base-aadhaar-200 | null | [
"transformers",
"tensorboard",
"safetensors",
"vision-encoder-decoder",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:naver-clova-ix/donut-base",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T10:22:31+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #dataset-imagefolder #base_model-naver-clova-ix/donut-base #license-mit #endpoints_compatible #region-us
|
# donut-base-aadhaar-200
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training ... | [
"# donut-base-aadhaar-200\n\nThis model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Trainin... | [
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | wetaizhou/gemma-ft | null | [
"transformers",
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"gemma",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T10:25:04+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- 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. -->
# llama3-8b_readme_summarization
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-ll... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "llama3-8b_readme_summarization", "results": []}]} | bunbohue/llama3-8b_readme_summarization | null | [
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"trl",
"sft",
"generated_from_trainer",
"base_model:meta-llama/Meta-Llama-3-8B",
"license:other",
"region:us"
] | null | 2024-04-30T10:25:10+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-8B #license-other #region-us
| llama3-8b\_readme\_summarization
================================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8341
Model description
-----------------
More information needed
Intended uses & limitation... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 2\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | PrachiDabi/BahasaTest30355 | null | [
"transformers",
"safetensors",
"gpt2",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T10:25:53+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gpt2 #feature-extraction #arxiv-1910.09700 #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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"TAGS\n#transformers #safetensors #gpt2 #feature-extraction #arxiv-1910.09700 #endpoints_compatible #text-generation-inference #region-us \n",
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text-generation | null |
# itayl/dictalm2.0-instruct-Q5_K_M-GGUF
This model was converted to GGUF format from [`dicta-il/dictalm2.0-instruct`](https://huggingface.co/dicta-il/dictalm2.0-instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](http... | {"language": ["en", "he"], "license": "apache-2.0", "tags": ["instruction-tuned", "llama-cpp", "gguf-my-repo"], "base_model": "dicta-il/dictalm2.0", "pipeline_tag": "text-generation", "inference": {"parameters": {"temperature": 0.7}}} | itayl/dictalm2.0-instruct-Q5_K_M-GGUF | null | [
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"gguf-my-repo",
"text-generation",
"en",
"he",
"base_model:dicta-il/dictalm2.0",
"license:apache-2.0",
"region:us"
] | null | 2024-04-30T10:26:25+00:00 | [] | [
"en",
"he"
] | TAGS
#gguf #instruction-tuned #llama-cpp #gguf-my-repo #text-generation #en #he #base_model-dicta-il/dictalm2.0 #license-apache-2.0 #region-us
|
# itayl/dictalm2.0-instruct-Q5_K_M-GGUF
This model was converted to GGUF format from 'dicta-il/dictalm2.0-instruct' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:... | [
"# itayl/dictalm2.0-instruct-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'dicta-il/dictalm2.0-instruct' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | codevang/fast_small_12 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
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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. -->
# finetuned-BrainTumor-2.0
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google... | {"license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "finetuned-BrainTumor-2.0", "results": []}]} | Dharamanand/BrainTumorClassifier-finetuned-ViT | null | [
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"tensorboard",
"safetensors",
"vit",
"image-classification",
"generated_from_trainer",
"base_model:google/vit-base-patch16-224-in21k",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T10:28:39+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #base_model-google/vit-base-patch16-224-in21k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| finetuned-BrainTumor-2.0
========================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the BrainTumorMRIForFineTuningViT dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1038
* Accuracy: 0.9743
Model description
-----------------
More information ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/databricks/dbrx-instruct
(actually the f16 from https://huggingface.co/dranger003/dbrx-instruct-iMat.GGUF as llama.cpp seems to ha... | {"language": ["en"], "library_name": "transformers", "base_model": "databricks/dbrx-instruct", "quantized_by": "mradermacher"} | mradermacher/dbrx-instruct-i1-GGUF | null | [
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"endpoints_compatible",
"region:us"
] | null | 2024-04-30T10:29:35+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-databricks/dbrx-instruct #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
(actually the f16 from URL as URL seems to have broken dbrx support currently)
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part file... | [] | [
"TAGS\n#transformers #gguf #en #base_model-databricks/dbrx-instruct #endpoints_compatible #region-us \n"
] | [
33
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Vaneanea/DialoGPT-small-stewie-p-test-1 | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T10:29:38+00:00 | [
"1910.09700"
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#transformers #safetensors #gpt2 #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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text-generation | transformers | ```
env CUDA_DEVICE_ORDER=PCI_BUS_ID CUDA_VISIBLE_DEVICES=0 python3 main.py \
--model_name facebook/opt-125M \
--device 0 \
--group_size 128 \
--bits 4 \
--seqlen 2048 \
--iters 1000 \
--use_quant_input \
--disable_eval \
--n_blocks 22 \
--sym \
--deployment_device 'gpu' \
--disable_low_gpu_mem_usage \
--output_dir "/m... | {} | LnL-AI/opt-125M-autoround-lm_head-false-symTrue | null | [
"transformers",
"safetensors",
"opt",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-30T10:31:14+00:00 | [] | [] | TAGS
#transformers #safetensors #opt #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
quant model path:
'/monster/data/zx/opt-125M-quant_lm_head_false/opt-125m-autoround-w4g128-gpu' | [] | [
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text-classification | transformers | # Model Card for deberta-v3-base-optimus-v0
Fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on private dataset of normal & injections prompts.
Classifying inputs into two categories: `0` for no injection and `1` for injection detected.
Model evaluation results:
- P... | {"language": ["en"], "license": "gpl-3.0", "tags": ["llm", "genai", "promptinjection", "prompt-injection", "injection", "security"], "datasets": ["Private"], "metrics": ["accuracy", "recall", "precision", "f1"], "inference": false, "base_model": "microsoft/deberta-v3-base", "pipeline_tag": "text-classification", "co2_e... | vibraniumdome/deberta-v3-base-optimus-v0-onnx | null | [
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] | null | 2024-04-30T10:32:12+00:00 | [] | [
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| # Model Card for deberta-v3-base-optimus-v0
Fine-tuned version of microsoft/deberta-v3-base on private dataset of normal & injections prompts.
Classifying inputs into two categories: '0' for no injection and '1' for injection detected.
Model evaluation results:
- Precision: 0.988
- Recall: 0.992
- Accuracy: 0.998
- ... | [
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text-generation | transformers | ```
env CUDA_DEVICE_ORDER=PCI_BUS_ID CUDA_VISIBLE_DEVICES=0 python3 main.py \
--model_name facebook/opt-125M \
--device 0 \
--group_size 128 \
--bits 4 \
--seqlen 2048 \
--iters 1000 \
--use_quant_input \
--quant_lm_head \
--disable_eval \
--n_blocks 22 \
--sym \
--deployment_device 'gpu' \
--disable_low_gpu_mem_usage ... | {} | LnL-AI/opt-125M-autoround-lm_head-true-symTrue | null | [
"transformers",
"safetensors",
"opt",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-30T10:32:19+00:00 | [] | [] | TAGS
#transformers #safetensors #opt #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
quant model path:
'/monster/data/zx/opt-125M-quant_lm_head_true/opt-125m-autoround-w4g128-gpu' | [] | [
"TAGS\n#transformers #safetensors #opt #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n"
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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"]} | krisha-n/ppo-Pyramids-Training | null | [
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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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"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\... |
text-to-image | diffusers |
# BRIA 2.3 FAST-LORA: Text-to-Image Model for Commercial Licensing
Introducing Bria AI 2.3 FAST-LORA, a groundbreaking text-to-image model explicitly designed for commercial applications in the enterprise. This model combines technological innovation with ethical responsibility and legal security, setting a new stand... | {"license": "other", "library_name": "diffusers", "tags": ["text-to-image", "legal liability", "commercial use"], "license_name": "bria-2.3-fast-lora", "license_link": "https://bria.ai/bria-huggingface-model-license-agreement/", "inference": false, "extra_gated_prompt": "Model weights from BRIA AI can be obtained after... | briaai/BRIA-2.3-FAST-LORA | null | [
"diffusers",
"text-to-image",
"legal liability",
"commercial use",
"license:other",
"has_space",
"region:us"
] | null | 2024-04-30T10:33:37+00:00 | [] | [] | TAGS
#diffusers #text-to-image #legal liability #commercial use #license-other #has_space #region-us
|
# BRIA 2.3 FAST-LORA: Text-to-Image Model for Commercial Licensing
Introducing Bria AI 2.3 FAST-LORA, a groundbreaking text-to-image model explicitly designed for commercial applications in the enterprise. This model combines technological innovation with ethical responsibility and legal security, setting a new stand... | [
"# BRIA 2.3 FAST-LORA: Text-to-Image Model for Commercial Licensing\n\nIntroducing Bria AI 2.3 FAST-LORA, a groundbreaking text-to-image model explicitly designed for commercial applications in the enterprise. This model combines technological innovation with ethical responsibility and legal security, setting a new... | [
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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. -->
# lnmt15
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "lnmt15", "results": []}]} | carmenlozano/lnmt15 | null | [
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"base_model:distilbert/distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T10:37:52+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| lnmt15
======
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1494
* Accuracy: {'accuracy': 0.6157331136738056}
* F1 Macro: {'f1': 0.35224562300474405}
* F1 Weighted: {'f1': 0.6107640170375412}
Model... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 15",
"### Train... | [
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Ahjeong/dpo_gemma_bf16_lr1e-5_origindset_default_kl0.01-epoch3 | null | [
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"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T10:37:58+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model trained on the [go_emotions](https://huggingface.co/datasets/go_emotions) dataset that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "datasets": ["go_emotions"], "metrics": ["accuracy"], "base_model": "sentence-transformers/paraphrase-mpnet-base-v2", "widget": [{"text": "Curious as to why he's been passed up so many times n... | bhaskars113/go-emotions-multilabel | null | [
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| SetFit with sentence-transformers/paraphrase-mpnet-base-v2
==========================================================
This is a SetFit model trained on the go\_emotions dataset that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-mpnet-base-v2 as the Sentence Transformer e... | [
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null | null | <!-- 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/starcoder2-7b-GGUF-smashed | null | [
"gguf",
"pruna-ai",
"region:us"
] | null | 2024-04-30T10:40:34+00:00 | [] | [] | TAGS
#gguf #pruna-ai #region-us
|
[](URL target=)
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL
This repo contains GGUF versions of the bigcode/starcoder2-7b model.
--------------------------------------------------------------------
Simply make AI models cheaper, smaller, faster, and greener!
================... | [
"### How to load this model in Python code, using llama-cpp-python\n\nFor full documentation, please see: llama-cpp-python docs.",
"#### First install the package\n\nRun one of the following commands, according to your system:",
"#### Simple llama-cpp-python example code\n\n```\n\n* Option D - Running with Lang... | [
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"#### Simple llama-cpp-python example code... | [
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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. -->
# translation_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It ac... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "translation_model", "results": []}]} | drewcurran/translation_model | null | [
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"region:us"
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| translation\_model
==================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.6186
* Bleu: 0.3271
* Gen Len: 18.2151
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | jorgefg03/distilbert-base-multilingual-cased-autext2024 | null | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #distilbert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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 | null | Model Card for Model ID Model Details Model Description This is the model card of a π€ 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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Ahjeong/dpo_gemma_bf16_lr1e-5_origindset_beta4.4_kl0.01-epoch3 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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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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text-generation | transformers | <a href="https://www.youtube.com/@devsdocode" target="_blank"><img src="https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/AElQ9kmPlaG626QihRBrJ.png" width="200"/></a>
# Llama-3 8B Instruct 1048k
For more info see our [Youtube Channel](https://www.youtube.com/@devsdocode)
This model extends LLama-... | {"language": ["en"], "license": "llama3", "tags": ["meta", "llama-3"], "pipeline_tag": "text-generation"} | DevsDoCode/Llama-3-8B-Instruct-1048k | null | [
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| <a href="URL target="\_blank"><img src="URL width="200"/>
Llama-3 8B Instruct 1048k
=========================
For more info see our Youtube Channel
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Ahjeong/dpo_gemma_bf16_lr1e-5_origindset_beta1.1_kl0.01-epoch3 | null | [
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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", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"type": "mea... | elisamammi/Reinforce | null | [
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# 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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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# BERT-ukpolitics
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1"], "base_model": "bert-base-cased", "model-index": [{"name": "BERT-ukpolitics", "results": []}]} | Farjfar/BERT-ukpolitics | null | [
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| BERT-ukpolitics
===============
This model is a fine-tuned version of bert-base-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1724
* Precision: 0.5375
* Recall: 0.4443
* F1: 0.4865
Model description
-----------------
More information needed
Intended uses & limit... | [
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Ahjeong/dpo_gemma_bf16_lr1e-5_origindset_beta0.5_kl0.01-epoch3 | 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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | abc88767/model17 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-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. -->
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- 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. -->
# outputs
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# outputs
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More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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feature-extraction | transformers |
# phospho-small
This is a SetFit model that can be used for Text Classification on CPU.
The model has been trained using an efficient few-shot learning technique.
## Usage
```python
from setfit import SetFitModel
model = SetFitModel.from_pretrained("phospho-small-4e0ec73")
outputs = model.predict(["This is a s... | {"language": "en", "license": "apache-2.0"} | phospho-app/phospho-small-4e0ec73 | null | [
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# phospho-small
This is a SetFit model that can be used for Text Classification on CPU.
The model has been trained using an efficient few-shot learning technique.
## Usage
## References
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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 | transformers |
# Uploaded model
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This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/codegemma-7b-it-bnb-4bit"} | arvnoodle/hcl-codegemma-it-galore-7b-xml-json | 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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "cc-by-nc-4.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "facebook/musicgen-melody", "model-index": [{"name": "musicgen-melody-lora-punk2", "results": []}]} | fyremael/musicgen-melody-lora-punk2 | null | [
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<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
# musicgen-melody-lora-punk2
This model is a fine-tuned version of facebook/musicgen-melody on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Regression
## Validation Metrics
loss: 0.34081029891967773
mse: 0.3408103287220001
mae: 0.4530330300331116
r2: 0.6911017288906998
rmse: 0.5837896466255188
explained_variance: 0.6929686665534973
| {"tags": ["autotrain", "text-regression"], "datasets": ["autotrain-99xmg-r4pqr/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | abhishek/autotrain-99xmg-r4pqr | null | [
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# Model Trained Using AutoTrain
- Problem type: Text Regression
## Validation Metrics
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small te - arthink
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whis... | {"language": ["te"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["google/fleurs"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small te - arthink", "results": []}]} | April01524/whisper-small-te | null | [
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# Whisper Small te - arthink
This model is a fine-tuned version of openai/whisper-small on the Google Fleurs dataset.
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More information needed
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More information needed
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feature-extraction | transformers | # medical-20-0-16-jinaai_jina-embeddings-v2-small-en-100-gpt-3.5-turbo-0_9062874564
## Model Description
medical-20-0-16-jinaai_jina-embeddings-v2-small-en-100-gpt-3.5-turbo-0_9062874564 is a fine-tuned version of jinaai/jina-embeddings-v2-small-en designed for a specific domain.
## Use Case
This model is designed t... | {} | florian-hoenicke/medical-20-0-16-jinaai_jina-embeddings-v2-small-en-100-gpt-3.5-turbo-0_9062874564 | null | [
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| # medical-20-0-16-jinaai_jina-embeddings-v2-small-en-100-gpt-3.5-turbo-0_9062874564
## Model Description
medical-20-0-16-jinaai_jina-embeddings-v2-small-en-100-gpt-3.5-turbo-0_9062874564 is a fine-tuned version of jinaai/jina-embeddings-v2-small-en designed for a specific domain.
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"license": "apache-2.0", "library_name": "transformers"} | chlee10/T3Q-Llama3-8B-dpo-v2.0 | null | [
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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text-generation | transformers | This is just an experiment similar to that done on [chargoddard/llama3-42b-v0](https://huggingface.co/chargoddard/llama3-42b-v0). The post-pruning was fine-tuned or "healed" with QLoRA using the code DPO dataset [AlekseyKorshuk/evol-codealpaca-v1-dpo](https://huggingface.co/datasets/AlekseyKorshuk/evol-codealpaca-v1-dp... | {"license": "other", "tags": ["llama-3", "llama", "3", "5B"], "license_name": "llama-3", "license_link": "https://llama.meta.com/llama3/license/"} | RDson/Llama-3-5B-Experimental | null | [
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| This is just an experiment similar to that done on chargoddard/llama3-42b-v0. The post-pruning was fine-tuned or "healed" with QLoRA using the code DPO dataset AlekseyKorshuk/evol-codealpaca-v1-dpo. Due to limitations, this was only trained on 3150/4935 (~64%) steps of the data. I had to restart the training about half... | [] | [
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text-generation | transformers |
# mlx-community/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-8bit
This model was converted to MLX format from [`llm-jp/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0`]() using mlx-lm version **0.12.0**.
Refer to the [original model card](https... | {"language": ["en", "ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mlx"], "datasets": ["databricks/databricks-dolly-15k", "llm-jp/databricks-dolly-15k-ja", "llm-jp/oasst1-21k-en", "llm-jp/oasst1-21k-ja", "llm-jp/oasst2-33k-en", "llm-jp/oasst2-33k-ja"], "programming_language": ["C", "C++", "C#... | mlx-community/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-8bit | null | [
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# mlx-community/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-8bit
This model was converted to MLX format from ['llm-jp/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0']() using mlx-lm version 0.12.0.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-1... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/Phi-3-mini-128k-instruct", "model-index": [{"name": "results", "results": []}]} | perelloliver/results | null | [
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| results
=======
This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0995
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inf... | [
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text-generation | null |
# itayl/dictalm2.0-instruct-Q2_K-GGUF
This model was converted to GGUF format from [`dicta-il/dictalm2.0-instruct`](https://huggingface.co/dicta-il/dictalm2.0-instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https:... | {"language": ["en", "he"], "license": "apache-2.0", "tags": ["instruction-tuned", "llama-cpp", "gguf-my-repo"], "base_model": "dicta-il/dictalm2.0", "pipeline_tag": "text-generation", "inference": {"parameters": {"temperature": 0.7}}} | itayl/dictalm2.0-instruct-Q2_K-GGUF | null | [
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|
# itayl/dictalm2.0-instruct-Q2_K-GGUF
This model was converted to GGUF format from 'dicta-il/dictalm2.0-instruct' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
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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-001", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"type": ... | Edgar404/Reinforce-001 | null | [
"CartPole-v1",
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] | null | 2024-04-30T11:14:40+00:00 | [] | [] | TAGS
#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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translation | keras | # Project Hinglish - A gemma-2b fine tuned Hinglish to English Language Translater using PEFT(LoRA) method.
Project Hinglish aims to develop a high-performance language translation model capable of translating Hinglish (a blend of Hindi and English commonly used in informal communication in India) to standard English.... | {"language": ["en"], "license": "mit", "library_name": "keras", "tags": ["hinglish", "translation", "hinglish to english", "language translation", "keras", "keras nlp", "nlp", "transformers", "gemma", "gemma2b"], "datasets": ["cmu_hinglish_dog"], "pipeline_tag": "translation"} | rudrashah/Hinglish-translate-gemma-2b | null | [
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| # Project Hinglish - A gemma-2b fine tuned Hinglish to English Language Translater using PEFT(LoRA) method.
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Koios-API/koios-Code-Instruct-Finetune-test | null | [
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null | null |
Pre-trained checkpoints from the LCM-Lookahead paper | {"license": "apache-2.0"} | rinong/lcm_lookahead | 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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | codevang/fast_small_13 | null | [
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|
# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MohammadKarami/simple-roberta | null | [
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null | transformers |
# Uploaded model
- **Developed by:** Crysiss
- **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.
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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 Card for Model ID
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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 | transformers |
# Model Card for Model ID
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Finetune Llama-3-8B model with Orca-DPO 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. -->
# vit-base-patch16-224-finetuned-flower
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "model-index": [{"name": "vit-base-patch16-224-finetuned-flower", "results": []}]} | oldorgan/vit-base-patch16-224-finetuned-flower | null | [
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|
# vit-base-patch16-224-finetuned-flower
This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder dataset.
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More information needed
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More information needed
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More information needed
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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. -->
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text-generation | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
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sentence-similarity | sentence-transformers |
# luiz-and-robert-thesis/mpnet-frozen-newtriplets-v2-lr-2e-5-m-1-e-3
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sente... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | luiz-and-robert-thesis/mpnet-frozen-newtriplets-v2-lr-2e-5-m-1-e-3 | null | [
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# luiz-and-robert-thesis/mpnet-frozen-newtriplets-v2-lr-2e-5-m-1-e-3
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/sfdfevp | null | [
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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
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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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text-generation | transformers |
# mlx-community/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-4bit
This model was converted to MLX format from [`llm-jp/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0`]() using mlx-lm version **0.12.0**.
Refer to the [original model card](https://huggingface.co/llm-... | {"language": ["en", "ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mlx"], "datasets": ["databricks/databricks-dolly-15k", "llm-jp/databricks-dolly-15k-ja", "llm-jp/oasst1-21k-en", "llm-jp/oasst1-21k-ja", "llm-jp/oasst2-33k-en", "llm-jp/oasst2-33k-ja"], "programming_language": ["C", "C++", "C#... | mlx-community/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-4bit | null | [
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# mlx-community/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-4bit
This model was converted to MLX format from ['llm-jp/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0']() using mlx-lm version 0.12.0.
Refer to the original model card for more details on the model.
##... | [
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text-generation | transformers | Model Card for Model ID Model Details Model Description This is the model card of a π€ transformers model that has been pushed on the Hub. This model card has been automatically generated.
Developed by: [More Information Needed] Funded by [optional]: [More Information Needed] Shared by [optional]: [More Information Ne... | {"license": "apache-2.0"} | Jayant9928/orpo_med_v0 | null | [
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#transformers #safetensors #llama #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Model Card for Model ID Model Details Model Description This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
Developed by: Funded by [optional]: Shared by [optional]: Model type: Language(s) (NLP): License: Finetuned from model [option... | [] | [
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Regression
## Validation Metrics
loss: 0.3305796980857849
mse: 0.3305796980857849
mae: 0.44259902834892273
r2: 0.7003744220771353
rmse: 0.5749605894088745
explained_variance: 0.700911283493042
| {"tags": ["autotrain", "text-regression"], "datasets": ["autotrain-m1b56-8ger6/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | abhishek/autotrain-m1b56-8ger6 | null | [
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] | null | 2024-04-30T11:30:35+00:00 | [] | [] | TAGS
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|
# Model Trained Using AutoTrain
- Problem type: Text Regression
## Validation Metrics
loss: 0.3305796980857849
mse: 0.3305796980857849
mae: 0.44259902834892273
r2: 0.7003744220771353
rmse: 0.5749605894088745
explained_variance: 0.700911283493042
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multiple-choice | 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-swag
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "bert-swag", "results": []}]} | jafarisbarov/bert-swag | null | [
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#transformers #tensorboard #safetensors #bert #multiple-choice #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
| bert-swag
=========
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0222
* Accuracy: 0.7883
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
Mo... | [
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | jeongmi/Solar-Insta-Text-Generation | null | [
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"endpoints_compatible",
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"1910.09700"
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# 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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | yashdkadam/jsontraining | null | [
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# Model Card for Model ID
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